The document provides an overview of digital computer control systems and their history. It discusses:
1. The earliest suggestions for using computers for real-time measurement and control applications in the 1950s and the first industrial computer control system installed in the late 1950s.
2. The development of direct digital control systems in the 1960s and how distributed control architectures addressed limitations of centralized systems.
3. The basic components, roles, and applications of computer-based control systems today including monitoring, data acquisition, control algorithms, and plant optimization.
Types of Controllers
Process control_ mechatronics engineering.
Control system is a combination of various elements connected as a unit to direct or regulate itself or any other system in order to provide a specific output is known as a Control system.
Components of a Control System
1.Controlled process: The part of the system which requires controlling is known as a controlled process.
2. Controller: The internal or external element of the system that controls the process is known as the controller.
3. Input: For every system to provide a specific result, some excitation signal must be provided. This signal is usually given through an external source. So, the externally provided signal for the desired operation is known as input.
TYPES OF DISTURBANCE:
1.an internal disturbance is generated within the system. 2.an external disturbance is generated outside the system and is an input.
Types of Control System:
1.Open loop control systems in this control system the
output is neither measured nor fed back for comparison
with the input.
2.Closed loop control systems in this control system the
actuating error signal, which is the difference between
the input signal and the feedback signal, is fed to the
controller so as to reduce the error and bring the output
of the system to a desired value.
PID
The PID control scheme is named after its three correcting terms, whose constitutes the manipulated variable (MV). The proportional, integral, and derivative terms are summed to calculate the output of the PID controller.
contents:
Ziegler-Nichols Closed-loop method.
Instrument Symbols.
continuous-mode controllers.
Proportional controller.
Derivative controller and another.
created by :Anaseem Alhanni.
University :Al- Balqa' Applied University (BAU).
Block diagrams are used to represent control systems pictorially. They show the functions of each component and the flow of signals. A block represents a mathematical operation on an input signal to produce an output signal. Block diagrams can be used to design or improve processes. There are two main types of control systems: open-loop systems which do not use feedback, and closed-loop systems which do use feedback to reduce errors and ensure the output reaches the desired value. Reduction techniques can be used to simplify block diagrams and obtain the overall transfer function.
Digital controllers have several advantages over analog controllers, including flexibility, decision-making capability, and high performance for a lower cost. They can also be easily designed and tested through simulations. A digital control system uses analog to digital converters to digitize sensor signals and digital to analog converters to generate control signals. It samples continuous sensor signals and holds the values constant between samples, introducing quantization error that can be reduced by increasing the number of quantization levels.
Chapter 1 introduction to control systemLenchoDuguma
This chapter introduces control systems and covers the following topics:
1. It defines open-loop and closed-loop control systems, with open-loop systems having no feedback and closed-loop systems using feedback to reduce errors between the output and desired input.
2. It discusses the history of control systems from the 18th century to present day, including developments in areas like stability analysis, frequency response methods, and state-space methods.
3. It compares classical and modern control theory, noting that modern control theory can handle more complex multi-input, multi-output systems through time-domain analysis of differential equations.
Radar, which stands for radio detection and ranging, uses electromagnetic waves to detect distant objects such as aircraft, ships, motor vehicles, weather formations, and terrain. The document provides an overview of radar including its history, basic principles, components, types, factors affecting performance, applications, and advantages and disadvantages. It discusses how radar works by transmitting pulses of radio waves that bounce off objects and return to the radar receiver, enabling the determination of an object's range, altitude, direction, or speed.
Distributed Control Systems (DCS) are dedicated systems used to control manufacturing processes that are continuous or batch-oriented, such as oil refining, petrochemicals, central station power generation, fertilizers, pharmaceuticals, food and beverage manufacturing, cement production, steelmaking, and papermaking. DCSs are connected to sensors and actuators and use set point control to control the flow of material through the plant.
The most common example is a set point control loop consisting of a pressure sensor, controller, and control valve. Pressure or flow measurements are transmitted to the controller, usually through the aid of a signal conditioning input/output (I/O) device. When the measured variable reaches a certain point, the controller instructs a valve or actuation device to open or close until the fluidic flow process reaches the desired set point.
Large oil refineries have many thousands of I/O points and employ very large DCSs. Processes are not limited to fluidic flow through pipes, however, and can also include things like paper machines and their associated quality controls (see quality control system QCS), variable speed drives and motor control centers, cement kilns, mining operations, ore processing facilities, and many others.
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This document discusses the Z-transform, which converts a discrete-time signal into a complex frequency domain representation. Some key points:
- The Z-transform provides a technique for analyzing and designing discrete time signals and systems, representing them in the complex Z-plane. It has advantages over other transforms like allowing stability analysis.
- The region of convergence (ROC) is the set of Z-plane values where the Z-transform is finite. ROCs cannot contain poles and must be connected. Causal sequences have an exterior ROC, anti-causal an interior one.
- Z-transforms characterize discrete time signals and linear time-invariant systems completely. Properties include how ROCs restrict poles, and transformations
This document provides an overview of control systems engineering. It discusses:
- The basics of control theory including open and closed loop control systems.
- Examples of control systems in real life including manual vs automatic control of a car.
- Classification of control systems as open loop or closed loop and the processes of each.
- Applications of control systems including temperature regulation and motor speed control.
- The purpose of control systems is to cause a system variable to conform to a desired value through feedback.
The document discusses control systems and distributed control systems (DCS). It defines a control system as using feedback to maintain or alter quantities according to a desired state. A DCS uses distributed controllers and communication networks to control large, complex industrial processes. Key components of a DCS include field devices, input/output modules, controllers, human-machine interfaces, and control engineering software. DCS are suitable for large chemical plants, refineries, and other industrial applications where centralized control is not feasible.
this presentation is about the industrial automation in which PLC has been described . it also tells us about the different assembly lines being used in industrial automation and the types of gauges used in this field.
This document provides an overview of PID controllers, including:
- The basic feedback loop and proportional, integral, and derivative algorithms
- Implementation issues like set-point weighing, windup, and digital implementation
- Practical operational aspects like bumpless transfer between manual and automatic modes
This document discusses industrial automation and provides an overview of programmable logic controllers (PLCs) and supervisory control and data acquisition (SCADA) systems. It describes how PLCs were developed to replace mechanical relays and control industrial processes automatically. The document focuses on the Micrologix 1000 PLC, explaining its architecture, programming, and applications. It also gives an introduction to SCADA software like Intouch Wonderware, describing how it allows users to monitor and visualize industrial processes connected to PLCs.
This document discusses different types of recorders including analog graphic recorders like strip chart recorders and XY recorders, oscillographic recorders, magnetic tape recorders, and digital recorders. It provides details on the components, functioning, and applications of various analog and digital recorders.
This document discusses process control systems. It defines a process as a sequence of interdependent procedures that transforms inputs into outputs. Control involves regulating all aspects of a process. There are three main types of processes: continuous, batch, and discrete. A process control system uses controllers and feedback to maintain process variables like pressure, temperature and flow within desired ranges. It consists of sensors, actuators and an operator interface. The two main types are open-loop and closed-loop systems. Process control has applications in industries like food production, manufacturing, and waste water treatment. Future areas of development include smart cities and transportation.
Programmable logic controllers (PLCs) are microprocessor-based devices used to monitor, control, and automate electromechanical processes. PLCs replaced hardwired relay panels and are programmed using ladder logic. A PLC consists of a central processing unit, input and output modules to interface with sensors and actuators, and a programming device. PLCs scan inputs, execute a user-written program, and update outputs to control machines and processes in a flexible, easy-to-program manner.
This presentation explains about the introduction of Polar Plot, advantages and disadvantages of polar plot and also steps to draw polar plot. and also explains about how to draw polar plot with an examples. It also explains how to draw polar plot with numerous examples and stability analysis by using polar plot.
This Presentation explains about the introduction of Frequency Response Analysis. This video clearly shows advantages and disadvantages of Frequency Response Analysis and also explains frequency domain specifications and derivations of Resonant Peak, Resonant Frequency and Bandwidth.
The document discusses programmable logic controllers (PLCs). It defines a PLC as a specialized computer used to control machines and industrial processes. PLCs can be programmed by people without computer programming skills. They work by receiving input from sensors, executing programmed logic to determine outputs, and sending output signals to control devices. PLCs have evolved from conventional computers in the 1960s-1970s and are now widely used in industrial applications like manufacturing due to benefits like flexibility, reliability, and cost effectiveness compared to custom controllers. The document outlines the main components and programming of PLCs including ladder logic.
This document discusses PID controllers, which are widely used in industrial control systems. It provides details on:
- The basic components and functions of a PID controller, which uses proportional, integral and derivative terms to continuously calculate and apply error corrections.
- The characteristics and effects of P, I, and D controllers individually and together in a PID controller. While P reduces steady state error, I eliminates it, and D increases stability and reduces overshoot.
- Methods for tuning PID controllers, including Ziegler-Nichols tuning rules which determine parameters based on process response characteristics.
- Implementations of PID controllers using analog electronics with operational amplifiers, and limitations when used without additional modeling or modifications.
PLC Ladder Diagram basics, with two solved examples
For more information go to
http://shrutizpresentations.blogspot.in/2014/04/plc-ladder-diagram-basics.html
Introduction of SCADA, Architecture of SCADA, Software and hardware architecture, Components of a SCADA system, Functions of SCADA, Alarms and events, alarm logging, comparision between scada and DCS
This document provides an overview of transfer functions and stability analysis of linear time-invariant (LTI) systems. It discusses how the Laplace transform can be used to represent signals as algebraic functions and calculate transfer functions as the ratio of the Laplace transforms of the output and input. Poles and zeros are introduced as important factors for stability. A system is stable if all its poles reside in the left half of the s-plane and unstable if any pole resides in the right half-plane. Examples are provided to demonstrate calculating transfer functions from differential equations and analyzing stability based on pole locations.
This document provides an overview of programmable logic controllers (PLCs). It describes the basic components of a PLC including the central processing unit, input and output modules, power supply, and programming software. PLCs were developed to provide flexibility compared to traditional hardwired control systems. The document discusses PLC applications, advantages such as ease of programming and modification, as well as some disadvantages like proprietary aspects. It also covers PLC size, history, and leading manufacturers.
This document provides an overview of PID controllers, including:
- The three components of a PID controller are proportional, integral, and derivative terms.
- PID controllers are widely used in industrial control systems due to their general applicability even without a mathematical model of the system.
- Ziegler-Nichols tuning rules can be used to experimentally determine initial PID parameters to provide a stable initial response for the system. Fine-tuning is then used to optimize the response.
A microcontroller is an integrated circuit that can be programmed to control electronic devices. It contains a processor, memory, and input/output ports on a single chip. Microcontrollers come in various sizes based on their word length and internal bus width, from 4-bit to 32-bit. They also differ based on their memory architecture and instruction set. A microcontroller allows easy programming to control devices in embedded systems and provides advantages like low cost, small size, and flexibility.
This document discusses intelligent instrumentation and power plant training simulators. It describes how instrumentation in power plants has advanced from pneumatic to digital controls using field bus technologies. Intelligent instruments now have self-check and control capabilities. Power plant simulators provide realistic replicas of control rooms to train operators. Simulators allow operators to practice responding to malfunctions and other scenarios in a risk-free environment. They provide advantages like backtracking, initializing conditions, and evaluating trainee performance. Overall, intelligent instruments and simulators have enhanced power plant monitoring, control, and training.
This document provides an overview of control systems engineering. It discusses:
- The basics of control theory including open and closed loop control systems.
- Examples of control systems in real life including manual vs automatic control of a car.
- Classification of control systems as open loop or closed loop and the processes of each.
- Applications of control systems including temperature regulation and motor speed control.
- The purpose of control systems is to cause a system variable to conform to a desired value through feedback.
The document discusses control systems and distributed control systems (DCS). It defines a control system as using feedback to maintain or alter quantities according to a desired state. A DCS uses distributed controllers and communication networks to control large, complex industrial processes. Key components of a DCS include field devices, input/output modules, controllers, human-machine interfaces, and control engineering software. DCS are suitable for large chemical plants, refineries, and other industrial applications where centralized control is not feasible.
this presentation is about the industrial automation in which PLC has been described . it also tells us about the different assembly lines being used in industrial automation and the types of gauges used in this field.
This document provides an overview of PID controllers, including:
- The basic feedback loop and proportional, integral, and derivative algorithms
- Implementation issues like set-point weighing, windup, and digital implementation
- Practical operational aspects like bumpless transfer between manual and automatic modes
This document discusses industrial automation and provides an overview of programmable logic controllers (PLCs) and supervisory control and data acquisition (SCADA) systems. It describes how PLCs were developed to replace mechanical relays and control industrial processes automatically. The document focuses on the Micrologix 1000 PLC, explaining its architecture, programming, and applications. It also gives an introduction to SCADA software like Intouch Wonderware, describing how it allows users to monitor and visualize industrial processes connected to PLCs.
This document discusses different types of recorders including analog graphic recorders like strip chart recorders and XY recorders, oscillographic recorders, magnetic tape recorders, and digital recorders. It provides details on the components, functioning, and applications of various analog and digital recorders.
This document discusses process control systems. It defines a process as a sequence of interdependent procedures that transforms inputs into outputs. Control involves regulating all aspects of a process. There are three main types of processes: continuous, batch, and discrete. A process control system uses controllers and feedback to maintain process variables like pressure, temperature and flow within desired ranges. It consists of sensors, actuators and an operator interface. The two main types are open-loop and closed-loop systems. Process control has applications in industries like food production, manufacturing, and waste water treatment. Future areas of development include smart cities and transportation.
Programmable logic controllers (PLCs) are microprocessor-based devices used to monitor, control, and automate electromechanical processes. PLCs replaced hardwired relay panels and are programmed using ladder logic. A PLC consists of a central processing unit, input and output modules to interface with sensors and actuators, and a programming device. PLCs scan inputs, execute a user-written program, and update outputs to control machines and processes in a flexible, easy-to-program manner.
This presentation explains about the introduction of Polar Plot, advantages and disadvantages of polar plot and also steps to draw polar plot. and also explains about how to draw polar plot with an examples. It also explains how to draw polar plot with numerous examples and stability analysis by using polar plot.
This Presentation explains about the introduction of Frequency Response Analysis. This video clearly shows advantages and disadvantages of Frequency Response Analysis and also explains frequency domain specifications and derivations of Resonant Peak, Resonant Frequency and Bandwidth.
The document discusses programmable logic controllers (PLCs). It defines a PLC as a specialized computer used to control machines and industrial processes. PLCs can be programmed by people without computer programming skills. They work by receiving input from sensors, executing programmed logic to determine outputs, and sending output signals to control devices. PLCs have evolved from conventional computers in the 1960s-1970s and are now widely used in industrial applications like manufacturing due to benefits like flexibility, reliability, and cost effectiveness compared to custom controllers. The document outlines the main components and programming of PLCs including ladder logic.
This document discusses PID controllers, which are widely used in industrial control systems. It provides details on:
- The basic components and functions of a PID controller, which uses proportional, integral and derivative terms to continuously calculate and apply error corrections.
- The characteristics and effects of P, I, and D controllers individually and together in a PID controller. While P reduces steady state error, I eliminates it, and D increases stability and reduces overshoot.
- Methods for tuning PID controllers, including Ziegler-Nichols tuning rules which determine parameters based on process response characteristics.
- Implementations of PID controllers using analog electronics with operational amplifiers, and limitations when used without additional modeling or modifications.
PLC Ladder Diagram basics, with two solved examples
For more information go to
http://shrutizpresentations.blogspot.in/2014/04/plc-ladder-diagram-basics.html
Introduction of SCADA, Architecture of SCADA, Software and hardware architecture, Components of a SCADA system, Functions of SCADA, Alarms and events, alarm logging, comparision between scada and DCS
This document provides an overview of transfer functions and stability analysis of linear time-invariant (LTI) systems. It discusses how the Laplace transform can be used to represent signals as algebraic functions and calculate transfer functions as the ratio of the Laplace transforms of the output and input. Poles and zeros are introduced as important factors for stability. A system is stable if all its poles reside in the left half of the s-plane and unstable if any pole resides in the right half-plane. Examples are provided to demonstrate calculating transfer functions from differential equations and analyzing stability based on pole locations.
This document provides an overview of programmable logic controllers (PLCs). It describes the basic components of a PLC including the central processing unit, input and output modules, power supply, and programming software. PLCs were developed to provide flexibility compared to traditional hardwired control systems. The document discusses PLC applications, advantages such as ease of programming and modification, as well as some disadvantages like proprietary aspects. It also covers PLC size, history, and leading manufacturers.
This document provides an overview of PID controllers, including:
- The three components of a PID controller are proportional, integral, and derivative terms.
- PID controllers are widely used in industrial control systems due to their general applicability even without a mathematical model of the system.
- Ziegler-Nichols tuning rules can be used to experimentally determine initial PID parameters to provide a stable initial response for the system. Fine-tuning is then used to optimize the response.
A microcontroller is an integrated circuit that can be programmed to control electronic devices. It contains a processor, memory, and input/output ports on a single chip. Microcontrollers come in various sizes based on their word length and internal bus width, from 4-bit to 32-bit. They also differ based on their memory architecture and instruction set. A microcontroller allows easy programming to control devices in embedded systems and provides advantages like low cost, small size, and flexibility.
This document discusses intelligent instrumentation and power plant training simulators. It describes how instrumentation in power plants has advanced from pneumatic to digital controls using field bus technologies. Intelligent instruments now have self-check and control capabilities. Power plant simulators provide realistic replicas of control rooms to train operators. Simulators allow operators to practice responding to malfunctions and other scenarios in a risk-free environment. They provide advantages like backtracking, initializing conditions, and evaluating trainee performance. Overall, intelligent instruments and simulators have enhanced power plant monitoring, control, and training.
The document discusses the evolution of process control systems from early pneumatic and analog electronic implementations to modern digital implementations using distributed control systems (DCS). It describes the key components and advantages of DCS, including flexibility, reliability, and the ability to implement advanced digital control strategies. DCS networks allow different control modes and distributed control for large, complex processes.
SCADA (Supervisory Control and Data Acquisition) systems are used to monitor and control industrial processes. The document discusses the history and components of SCADA, including how it collects data from sensors using RTUs (Remote Terminal Units) and sends control signals. It also describes how SCADA is important for maintaining efficiency in power plants by remotely monitoring operations and reducing maintenance costs. SCADA plays a key role in hydroelectric power plants by integrating maintenance workstations, communicating alarm signals, and supporting future maintenance strategies through its database of equipment information.
SCADA (Supervisory Control and Data Acquisition) systems are used to monitor and control industrial processes. The document discusses the history and components of SCADA, including how it collects data from sensors using RTUs (Remote Terminal Units) and sends control signals. It also describes how SCADA is important for maintaining efficiency at power plants by remotely monitoring operations and automating processes to reduce costs. SCADA plays a key role in hydroelectric power plants by integrating maintenance systems and enabling remote monitoring and control to optimize maintenance scheduling.
Industrial automation involves using control systems and technology to reduce the need for human work in production. A key part of industrial automation is programmable logic controllers (PLCs), which allow automation through software programming rather than physical wiring. PLCs and supervisory control and data acquisition (SCADA) systems are widely used in industrial automation to monitor and control manufacturing processes. Engineers play an important role in designing, installing, and maintaining automated systems in industries like manufacturing.
Computer-based control systems use digital computers to acquire information from field devices, compute decisions to manipulate industrial processes, and optimize outputs. There are three main types of computer-aided industrial process control architectures: centralized, distributed, and hierarchical. A centralized system uses a single large mainframe computer, while a distributed system comprises smaller microprocessor-based systems connected by a data link. Computer control provides benefits like repeatability, flexibility, increased productivity, and process understanding.
This document provides an overview of automation, including:
- Automation uses control systems to operate machinery and processes with minimal human intervention. It saves labor but is also used to improve quality.
- There are different types of automation like discrete control, continuous control, and sequential control. Applications include human machine interfaces, sensors, instruments, and industrial communications.
- Automation is used widely in industries like food/drink, stores, mining, waste management, and manufacturing to reduce labor needs through machines and automated processes. Engineering tools also help design and implement automated systems.
This document discusses Supervisory Control and Data Acquisition (SCADA) systems and Programmable Logic Controllers (PLCs). It describes the typical architecture of a three-layer SCADA system, including a supervisory control layer, process control layer, and field instrumentation layer. The process control layer often uses PLCs to control devices and sensors are in the field instrumentation layer. Benefits of SCADA systems include increased reliability, lower costs, and assisting operators with decision making, while disadvantages include high initial costs and security issues from internet accessibility.
Industrial automation is the use of control
systems, such as computers or robots, and
information technologies for handling different
processes and machineries in an industry to
replace a human being. It is the second step
beyond mechanization in the scope of
industrialization.
Industrial Automation is a process of operating
machines and other industrial equipment with
the help of digital logical programming and
reducing human intervention in decision making
and manual command process with the help of
mechanized equipment.
Automation involves delegating human control functions to technical equipment to increase productivity, quality and safety while reducing costs. It has evolved from simple pneumatic controllers to include programmable logic controllers controlled by software programs. Modern automation utilizes a variety of field instruments, control hardware like PLCs, and SCADA software to monitor and control industrial processes. This provides benefits like reduced space, lower costs, and increased flexibility compared to earlier automation methods.
The document discusses programmable logic controllers (PLCs). It defines PLCs as digital electronic devices that use programmable memory to store instructions to control machines and industrial processes (sentence 1). PLCs were invented to replace sequential relay circuits for machine control and are now widely used for automation in factories, amusement rides, and other industrial applications (sentences 2-3). The document then provides details on the history and development of PLCs, their basic components and functions, programming methods, applications, advantages and disadvantages (sentences 4-15). It concludes by discussing trends in PLC usage, such as their suitability for hazardous environments and the growing market for programmable automation controllers (sentences 16-18).
Practical Troubleshooting & Problem Solving of Industrial Data CommunicationsLiving Online
This document provides an overview of industrial data communications. It describes modern instrumentation and control systems, including distributed control systems, programmable logic controllers, SCADA systems, and smart instruments. It also discusses common industrial communication standards and protocols, such as RS-232, RS-485, fiber optics, Modbus, HART, DeviceNet, Profibus, Ethernet, and TCP/IP. The document introduces the OSI model and explains how protocols define the structure of information frames transmitted across communication systems.
Automation is the delegation of human control functions to technical equipment to increase productivity, quality, reduce costs, and increase safety. It encompasses many areas from agriculture to space technology. Engineers play a key role in designing, installing, and maintaining automation systems. The history of automation progressed from manual control, to pneumatic control, hard-wired logic control, electronic control using logic gates, and modern programmable logic controllers (PLCs). PLCs offer advantages over previous methods like reduced space, energy savings, ease of maintenance, flexibility, and shorter project time. Common industrial automation components include sensors, control hardware like PLCs and distributed control systems (DCSs), and control software.
AUTOMATION ,SCADA AND POWER SYSTEM AUTOMATIONkamal soni
AUTOMATION ,SCADA AND POWER SYSTEM AUTOMATION
PLC(PROGRAMMABLE LOGIC CONTROLLER)
PLC OPERATION
Block diagram of a PLC
Supervisory
Control
And
Data
Acquisition
Human Machine Interface
Intelligent Electronic Device
Instrument Transformers
SCADA, an acronym for Supervisory Control and Data Acquisition, is a system used to monitor and control industrial processes remotely. It plays a critical role in various industries, including manufacturing, energy, water treatment, and more.
Arm Based Real Time Monitoring and Controlling of Industrial Parameters Using...IJTET Journal
Day by day the scope of networked embedded system is rapidly increasing for monitoring & controlling either home
appliances or industry devices. The World Wide Web is a global system of interconnected computer networks that utilizes the
standard Internet Protocol Suite (TCP/IP) and allows the user to interface many real-time Embedded applications similar to data
acquisition, Industrial automations and safety measures etc,. Users can monitor & control remote machines/systems by using an
embedded web server. The main objective of this system is used to monitor the industrial parameters and control the various
machines/systems in the industry from anywhere in the world through embedded web server. The machine/instrument is
monitored and controlled by ARM 7 and in-build web server with GPRS technology. Various sensor’s are used to monitor the
parameters like pressure, speed and temperature in the industry. A relay is used in this system to control the machine/instrument
by giving ON/OFF command in the web page. The embedded device communicates through General Packet Radio Service
(GPRS). GPRS technology along with GSM can be accessed from anywhere in the world.
ISO 4020-6.1 – Filter Cleanliness Test Rig: Precision Testing for Fuel Filter Integrity
Explore the design, functionality, and standards compliance of our advanced Filter Cleanliness Test Rig developed according to ISO 4020-6.1. This rig is engineered to evaluate fuel filter cleanliness levels with high accuracy and repeatability—critical for ensuring the performance and durability of fuel systems.
🔬 Inside This Presentation:
Overview of ISO 4020-6.1 testing protocols
Rig components and schematic layout
Test methodology and data acquisition
Applications in automotive and industrial filtration
Key benefits: accuracy, reliability, compliance
Perfect for R&D engineers, quality assurance teams, and lab technicians focused on filtration performance and standard compliance.
🛠️ Ensure Filter Cleanliness — Validate with Confidence.
Main Menu The metals-black-book-ferrous-metalsRicardo Akerman
Guia técnico e de referência amplamente utilizado nas indústrias metalúrgica, de manufatura, engenharia, petróleo e gás, construção naval, e diversas áreas de manutenção industrial.
Better Builder Magazine brings together premium product manufactures and leading builders to create better differentiated homes and buildings that use less energy, save water and reduce our impact on the environment. The magazine is published four times a year.
Video Games and Artificial-Realities.pptxHadiBadri1
🕹️ #GameDevs, #AIteams, #DesignStudios — I’d love for you to check it out.
This is where play meets precision. Let’s break the fourth wall of slides, together.
UNIT-4-PPT UNIT COMMITMENT AND ECONOMIC DISPATCHSridhar191373
Statement of unit commitment problem-constraints: spinning reserve, thermal unit constraints, hydro constraints, fuel constraints and other constraints. Solution methods: priority list methods, forward dynamic programming approach. Numerical problems only in priority list method using full load average production cost. Statement of economic dispatch problem-cost of generation-incremental cost curve –co-ordination equations without loss and with loss- solution by direct method and lamda iteration method (No derivation of loss coefficients)
Peak ground acceleration (PGA) is a critical parameter in ground-motion investigations, in particular in earthquake-prone areas such as Iran. In the current study, a new method based on particle swarm optimization (PSO) is developed to obtain an efficient attenuation relationship for the vertical PGA component within the northern Iranian plateau. The main purpose of this study is to propose suitable attenuation relationships for calculating the PGA for the Alborz, Tabriz and Kopet Dag faults in the vertical direction. To this aim, the available catalogs of the study area are investigated, and finally about 240 earthquake records (with a moment magnitude of 4.1 to 6.4) are chosen to develop the model. Afterward, the PSO algorithm is used to estimate model parameters, i.e., unknown coefficients of the model (attenuation relationship). Different statistical criteria showed the acceptable performance of the proposed relationships in the estimation of vertical PGA components in comparison to the previously developed relationships for the northern plateau of Iran. Developed attenuation relationships in the current study are independent of shear wave velocity. This issue is the advantage of proposed relationships for utilizing in the situations where there are not sufficient shear wave velocity data.
1. Introduction to Control System
Introduction to Digital Computer Control
Reference
Introduction to Computer Based Control System
IDC Technology
2. Digital Computer Control SystemHistory of Digital Control
The industrial revolution has contributed largely in the development of machine b
ased control where machines in process industries were took over the work do
ne by human physical power.
The early production processes were natural scale-up versions of the traditional
manual practices. These were designed as batch process which later was expan
ded to continuous processes, resulting in economical and technological benefits.
The industrial process control has modernized with modernization of industries.
Process control is therefore not a discovery of recent past, but is rather as old a
s the industry itself.
The engineers and designers of process industries always tried to automate the p
rocesses as much as possible and to do so, brought in measuring instruments.
Thus the need of better instrumentation and automatic control became the domin
ant reason for better operation of industrial processes. Conversely, the advan
cement in instrumentation and control contributed to the development of
larger and more complex processes, bringing numerous technological and econo
mical benefits to the opera
3. Digital Computer Control System
History of Digital Control
The earliest recorded suggestions for use of computer for measurement and control (in real-time) a
pplication were made by Brown and Campbell in their paper in 1950. In this specific reporting the c
omputer was used in both feedback and feed-forward loops. Scientists also suggested using digital
computing elements (logics) for setting up the control functions.
The first digital computer developed specifically for control (in real-time application) was for airbor
ne (military) operation, and in 1954 a digital computer was successfully used to provide an automa
tic flight and weapons control system.
Late 1950s itself saw the application of digital computers in industrial measurement & control for t
he purpose of process control. The first industrial computer control system, called RW – 300 system
(of Ramo-Wooldridge Company) was installed at Port Arthur refinery of Texaco Company in T
exas. This system was capable of providing closed-loop control.
The RW-300 systems were later installed by a number of chemical industries during early 1960s t
o work as supervisory control systems. The logged information was used for steady-state opti
mization calculations to determine the set-points for standard analog controllers. These computers
based systems were only indicative type; that means these did not control directly the movement o
f the valves or other final control elements.
The first direct-digital control (DDC) computer system developed and operated for process mon
itoring and control was Ferranti Argus 200; a large system with a provision of 120 control loops
and 256 measurement inputs. The architecture of this computer system has ferrite core memory sto
rage system (it replaced the rotating drum as used by the RW – 300 computers).
4. Digital Computer Control System
Roles of Computer in Measurement and Process Control
Computers are now extensively used for measurement and control in process and
manufacturing industries. It has brought new possibilities and new challenges to
measurement and control engineers.
The basic objective of computer based measurement and control is to acquire the
information from field devices (input), and compute a logical decision to manipul
ate the material and energy flow of given process in a desired way to get optima
l output.
The expectations from a process computer compared to a general purpose comp
uter is primarily in terms of response time, computing power, flexibility and fa
ult tolerance, which are need to be rigid and reliable.
The control of the process has to be carried out in real-time.
Difficulties Encountered
Mostly for process computers it is difficult to provide a solution to the problem of
complexity, flexibility, and geographical separation of process elements (plant eq
uipment) which are to be operated in a controlled manner.
5. Digital Computer Control System
Types Of Digital Computer Control System
Digital computer controlled applications in the process industries may be of:
i. Passive: Passive application involves only acquisition of process data (data acquisition / data loggin
g).
ii. Active: Active application involves acquisition & manipulation of data, uses it for (real time) process
control.
Passive System Working Principles
The passive application deals predominantly with monitoring, alarming and data reduction systems.
The process data, after being acquired (measured) on-line, is sent to the data acquisition computer t
hrough interface module.
The smart instruments (smart sensors, smart transmitters and smart actuators, the final control elem
ent), with embedded computer help operator to receive real-time process measurement inform
ation and automatic transmission in required form for further processing by the process co
mputer.
The smart instruments ensure that the actuator, transmitter or sensor function according to the requi
rement of the user.
6. Digital Computer Control System
Applications
The major application of digital computers is in process control and plant optimization.
Computer control systems, once prohibitively expensive, can now be tailored to fit most industrial ap
plications on a competitive economic basis (cheap implementation).
The advances in the use of computer control have motivated many and changed the concepts of the
operations of industrial processes. Video display terminals now provide the focus for operators to su
pervise the whole plant from a control room.
Large panel of instruments, knobs and switches are replaced by a few keyboards and screens. Contro
l rooms are now much smaller and fewer people are required to supervise the plant.
Process control computers now have the capability to implement sophisticated mathematical models.
Plant managers and engineers can be provided with comprehensive information concerning the statu
s of plant operations to aid effective operation.
With the use of microprocessor-based instruments and new emerging techniques, it is possible for a
utomatic tuning of controller parameters for best operating performance.
The expert systems and advanced control techniques such as model based predictive control, are bei
ng applied with the help of computers for optimization of the process operation.
7. Digital Computer Control System
Basic components and Block Diagram of Computer Control System
The basic components are:
1. Sensor : Measurement and Data Acquisition
2. Comparator : Data conversion and scaling and checking
3. Analog to Digital Converter : Data accumulation and formatting, visual display
4. Computing Algorithm : Comparing with limits and alarm raising
Events, sequence and trends; monitoring and logging
1. Digital to Analog Converter : Data logging and Computation
2. Plant : Control actions
8. Digital Computer Control System
Figure: Block Diagram Of Computer Based Process Control System
The controlled variable (o/p of the process) is measured as continuous electrical signal (analog
), and converted into a discrete-time signal using a device called Analog-to-digital-conver
ter (ADC).
This digital signal is fed back to a comparator (digital) and compared with the discrete form of
set point, which is the desired value, by the digital computer; this produces an error signal e.
An appropriate computer program representing the controller, called control algorithm, is exe
cuted which yields a discrete controller output.
The discrete signal is then converted into a continuous electrical signal using a device called
Digital to-analog-converter (DAC).
The analog signal is fed to the final control element.
This control strategy is repeated at some predetermined frequency (time division multiplexed
with other control loops and other associated activities) to achieve closed-loop computer cont
9. Digital Computer Control System
Architecture of Computer based Process Control System
Computer-aided Industrial Process can be classified on the basis of their architecture under o
ne or more of the following:
i. Centralized Computer Control
Comprised of large computer system with huge space and power consuming type
magnetic core memory.
Mostly done to improve the speed of operation.
System is expensive due to high cost of core memory and additional electronics.
Use of centralized computer control systems also had problems of providing expe
nsive communication systems for bringing in the (field) signals to the centrali
zed computer location; and output control signals to the field devices (valv
es, motors, actuators etc.).
Electrical noise problems for large distance communication of signals was a major
cause of process interruptions.
Due to sudden computer stoppages leading to complete stoppage of plant/proces
s and, as a consequence, resulted in losses and poor quality products.
10. Digital Computer Control System
ii. Distributed Computer Control
With the advent of microprocessors and microcomputers, distributed computer control
architecture became very popular because such systems were capable of tackling the
problems and limitations of centralized computer control system were removed.
The work of monitoring and control of the industrial processes is not divided by
functions and allocated to a particular computer; instead, the total work is divided up
and spread across several computers.
Since industrial processes are geographically located over wide area, it is essential that
the computing power required to control such processes be also distributed and
more emphasis be put to locations where major (control) activity takes place.
This limits the data flow to a single sink and instead ensures continuation of operation of the pl
ant even if there are failures at some sub systems.
11. Digital Computer Control System
iii. Hierarchical Computer Control
There is hierarchy of computers connected on a network with each performing dist
inct functions. In this type of control, the upper level computers depend on lo
wer level devices for process data, and the lower level systems depend upon high
er level systems for more sophisticated control functions such as overall plant o
ptimization.
Figure: Five levels of automation hierarchy of a (hierarchical)
computer based process control system
12. Digital Computer Control System
Task Listing of Computer Based System
Field Level (Level-0)
Measurement of process parameters, signal conditioning etc. if necessary, and transmissio
n of field parameters to the control level (Level-1) computer control systems.
Control Level (Level-1)
Systems at this level maintain direct control of the plant units under their cognizance, dete
ct emergency condition in these units and take appropriate action.
Undertakes system coordination and reporting jobs by collecting information on unit prod
uction, raw material consumption, and energy consumption; transmits to higher level co
mputer (Level-2). Programming part of operator’s human machine interface (HMI) done at
this level.
Takes up reliability assurance activities by performing diagnostics on the various control e
quipment; this also helps in detecting the faults and maintaining the standby system if con
nected to the system.
13. Digital Computer Control System
Supervisory Level (Level-2)
This level enforces control on the system by responding to any emergency condition at its
own level.
Also optimizes processes under its control as per established production schedule and car
ry out all established process operational schemes or operating practices for the proc
esses.
The coordination of the plant operation is taken up for here for data reporting; this level c
ollects and maintain process/production database. The records for inventory and raw mate
rial are maintained at this level; monitors on the energy consumption by units under its co
ntrol.
This level is where communication with higher and lower level computer systems are coord
inated.
The reliability assurance part of the job performs diagnostics on the various control equip
ment to detect the fault and keep updating hot-backup (standby) system if connected in
the hierarchy.
14. Digital Computer Control System
Plant Level (Level-3)
This level undertakes production planning and scheduling job by preparing immediate pro
duction schedule under its area of control.
The monitoring and recording of all the plant are done by computers at Level 3.
The production cost optimization function is taken up by modifying the production schedu
le based on inputs received from lower levels; the energy consumption and optimization o
f energy use is manipulated at this level.
The plant coordination and operational data reporting jobs which include preparing produc
tion reports, maintenance of plant inventory about material and energy usage, maintaining
communications with the higher and lower level computers, operation related data collecti
on and off-line analysis for future prediction and usage.
Services to the operator’s human machine interface (HMI) are taken up at this level. Under
reliability assurance activities, the diagnostics on the various control equipment to help i
n detecting the fault and keeping the standby system live is taken up at this level.
15. Digital Computer Control System
Management level (Level-4)
The core area of activity at this level involves management tasks.
Under Sales and Marketing the activities taken up are customer order management, order
booking, and transferring order information to plant level (Level – 3) computers. Market for
ecasting and market intelligence, customer database management, market survey are the
other activities of this level.
Under finance and accounting the logging and monitoring of company’s sales and expendi
tures, annual accounting, profit and loss account for the management information etc. are
undertaken.
16. Digital Computer Control System
Human Machine Interface
Technically where the human and the machine may interact.
It is the area of the human and the area of the machine that interact during a given task. In
teraction
can include touch, sight, sound, heat transference or any other physical or cognitive functi
on.
The goal of human-machine interaction engineering is to produce a user interface which
makes it easy, efficient, and enjoyable to operate a machine in the way which produces the
desired result.
HMI devices consist mainly of the following components:
Display unit (CRT)
Keyboard
Input unit
Printing unit
Control Panel/desks, mimic board/panel
Recorders
17. Digital Computer Control SystemArchitecture of general purpose computer
The four basic components of a general computer are:
Central Processing Unit (CPU)
Main unit inside the computer/heart of the computer). It controls all internal and ex
ternal devices, performs arithmetic and logic operations and consists of control
unit, arithmetic logic unit (ALU), temporary (primary storage) and general purpo
se registers.
Storage section (memory))
Main function of storage device is to store data and instructions (programs).
Input/ output (I/O) section
Sub-system through which the CPU communicates with outside world. For commun
ication between the CPU and human machine interface (HMI) and other peripheral devices s
uch as printers, external storage, keyboards, mouse etc.
Bus Interface
Bus Interface is an electronic pathway (media) in computer based system that provi
des a
communication path for data to flow between the CPU and its memory and peripher
als and
amongst the CPUs connected to the computer system
18. Digital Computer Control System
Analog Quantities: Thermocouples, strain gauges, flow meters, level sensors, etc. generate m
easured outputs as analog quantities in the form of milivolts (mV) or miliamperes (mA). The
mV or mA signals are amplified and fetched to the computer after converting these analog si
gnals into digital signal.
Digital Quantities: These are process events such as (on/off) operation of a limit switch, open
or closed contacts, a valve( in open or closed position), a switch in power on or off position, a
relay in open or closed condition, etc. These statuses (on/off, open/close) are sensed in form
of digital quantities. These digital quantities can be either binary (0/1) or a Binary Coded Deci
mal (BCD) or in other formats. Digital quantities are directly sent to the computer without any
conversion.
Pulses or pulse rates: These may be outputs (or inputs) of some measuring instruments such
as flow meters, stepper motors as controllers, valves, a motor on or off, etc.
Telemetry: This is a mechanism of transmitting a measured process quantities to a convenien
t remote location or to multiple locations, in a form, suitable for displaying, recording or act
uating a process.
19. Digital Computer Control SystemAnalog interfaces
These interfaces take up the continuous (time varying) type analog inputs. The interfacing har
dware ensures compatibility of the incoming (or outgoing) signals to and from digital com
puter. The popular analog interfaces applied with digital computer are:
Analog-to-digital converter (ADC): An analog-to-digital converter (abbreviated ADC, A/D or A
to D) is a device that converts a continuous quantity to a discrete time digital representation.
Digital-to-analog converter (DAC): Digital-to-analog conversion is a process in which signals
having two defined levels or states (digital) are converted into analog signals (theoretically i
nfinite number of states).
Modem: This device transmits data between computers, workstations and other peripheral de
vices interconnected by means of conventional communication lines supporting analog tr
ansmission.
Modem transforms (modulate) data from a digital device to an analog form which is suitable for transmission on (analog) lines. Since
, in general, the data flows in both direction, modems are also able to receive an analog signal from some remote device and restore
it back (by demodulation) to its original digital form.
20. Digital Computer Control System
Multiplexing: It is a process of sending multiple signals/streams of information on a carrier at
the same time in the form of a single, complex signal. At receiver end, the multiplexed signal
is de-multiplexed to recover all the multiplexed signals.
Ex: Space division multiplexing
Frequency division multiplexing
Time division multiplexing.
Multiplexer: The circuit that combines signals at the source (transmitting) end of a communic
ations link is known as a multiplexer.
De-multiplexer: At the other end of the long-distance cable, the individual signals are separat
ed out by means of a circuit called a de-multiplexer.
21. Digital Computer Control System
Advantages of Using Digital Computer Control System
Computers ensure the repeatability in the product quality that is essential in manufacturin
g plants.
It permits flexibility to modify the sequencing and control procedures to provide for the m
anufacture of a different product and frequent changes in product specification.
It maintains a data base containing the product recipe and thus is easy to change to a new
recipe quickly and reliably.
Use of computers increases the productivity of the plant significantly by ensuring greater p
lant availability.
It provides increased understanding of the behavior of the processes.
It helps in reduction in dead time of batch operation.