This document provides an overview of principles of controllers. It begins by stating the objectives of understanding basic controller concepts and components. It then defines controllers as devices that receive input from a transmitter and set point, and send output to control valves. The main controller components are identified as the comparator mechanism, controller, and feedback mechanism. Several types of controllers are described, including proportional, integral, derivative, and combinations of these. Schematics are provided to illustrate how different controller types operate based on error signals. Advantages and disadvantages of each controller type are also summarized.
The document discusses piping and instrumentation drawings (PNIDs) which include components of pneumatic control systems and hydraulic control systems. It defines PNIDs and states their objectives. The basic components of pneumatic systems are compressors, air tanks, air dryers, regulators, directional control valves, and actuators. Basic hydraulic system components are pumps, motors or cylinders, oil tanks, and valves. It also compares the advantages of pneumatic and hydraulic systems and provides their symbols.
Control systems are used in many fields like industries, homes, and medical equipment. They are classified as open-loop or closed-loop systems. Open-loop systems operate independently of feedback, while closed-loop systems incorporate feedback to reduce errors between the actual and desired output. Examples of open-loop systems include washing machines and electric kettles, while closed-loop systems include automatic toasters and refrigerators. Block diagrams are used in control engineering to show the functions and signal flows between components.
The document provides an introduction to programmable logic controllers (PLCs). It begins by stating the objectives of understanding PLC terminology, history, functions, advantages, and basic programming. It then explains what a PLC is and discusses its terminology, historical background, functions, advantages, basic components and instructions. Specific topics covered include the evolution of PLCs since 1968; their uses in various industries; how they can replace hard-wired relay systems; and how programming PLCs involves using ladder logic diagrams to represent circuits.
Some important tips for control systemsmanish katara
This document provides notes on control systems for a Bachelor of Engineering degree. It includes:
1. An introduction to control systems, defining key terms like controlled variable, controller, plant, disturbance, feedback control, and open-loop and closed-loop systems.
2. A classification of control systems based on their method of analysis and design, type of signal, system components, and main purpose.
3. An overview of mathematical models of linear systems, including analogous electrical systems, translational and rotational mechanical systems, and D'Alembert's principle.
4. An introduction to transfer functions, including their features and how to obtain them from system equations by taking the Laplace transform.
The document provides an overview of control systems and related concepts. It discusses the history of control systems from the 18th century to present day. Key concepts covered include open-loop and closed-loop control systems, transfer functions, Laplace transforms, and modeling systems in MATLAB Simulink. The document is intended to introduce students to control systems by describing the objectives and components of a general control system design process.
Modern control systems incorporate feedback to achieve desired purposes. Early examples of control systems provided ideas still used today. Control engineering now improves manufacturing, energy efficiency, transportation and more.
The document provides an introduction to control systems. It defines key terms like systems, control systems, open loop and closed loop systems. It explains that a system is a combination of components that work together, while a control system includes feedback to achieve a desired output. Open loop systems operate independently of feedback, while closed loop systems use feedback to adjust. Common examples of open and closed loop systems are also provided like electric hand driers and automatic washing machines. The basic elements of control systems like resistors, inductors, and capacitors are also introduced in the context of electrical systems.
The document provides an introduction to control systems, including definitions, representations, classifications, and components. It defines a control system as a collection of devices that function together to drive a system's output in a desired direction. Control systems are classified as open-loop or closed-loop. Closed-loop systems include feedback, feedforward, and adaptive control systems. The key components of a control system are the input, process, output, sensing elements, and controller.
The document discusses piping and instrumentation drawings (PNIDs) which include components of pneumatic control systems and hydraulic control systems. It defines PNIDs and states their objectives. The basic components of pneumatic systems are compressors, air tanks, air dryers, regulators, directional control valves, and actuators. Basic hydraulic system components are pumps, motors or cylinders, oil tanks, and valves. It also compares the advantages of pneumatic and hydraulic systems and provides their symbols.
Control systems are used in many fields like industries, homes, and medical equipment. They are classified as open-loop or closed-loop systems. Open-loop systems operate independently of feedback, while closed-loop systems incorporate feedback to reduce errors between the actual and desired output. Examples of open-loop systems include washing machines and electric kettles, while closed-loop systems include automatic toasters and refrigerators. Block diagrams are used in control engineering to show the functions and signal flows between components.
The document provides an introduction to programmable logic controllers (PLCs). It begins by stating the objectives of understanding PLC terminology, history, functions, advantages, and basic programming. It then explains what a PLC is and discusses its terminology, historical background, functions, advantages, basic components and instructions. Specific topics covered include the evolution of PLCs since 1968; their uses in various industries; how they can replace hard-wired relay systems; and how programming PLCs involves using ladder logic diagrams to represent circuits.
Some important tips for control systemsmanish katara
This document provides notes on control systems for a Bachelor of Engineering degree. It includes:
1. An introduction to control systems, defining key terms like controlled variable, controller, plant, disturbance, feedback control, and open-loop and closed-loop systems.
2. A classification of control systems based on their method of analysis and design, type of signal, system components, and main purpose.
3. An overview of mathematical models of linear systems, including analogous electrical systems, translational and rotational mechanical systems, and D'Alembert's principle.
4. An introduction to transfer functions, including their features and how to obtain them from system equations by taking the Laplace transform.
The document provides an overview of control systems and related concepts. It discusses the history of control systems from the 18th century to present day. Key concepts covered include open-loop and closed-loop control systems, transfer functions, Laplace transforms, and modeling systems in MATLAB Simulink. The document is intended to introduce students to control systems by describing the objectives and components of a general control system design process.
Modern control systems incorporate feedback to achieve desired purposes. Early examples of control systems provided ideas still used today. Control engineering now improves manufacturing, energy efficiency, transportation and more.
The document provides an introduction to control systems. It defines key terms like systems, control systems, open loop and closed loop systems. It explains that a system is a combination of components that work together, while a control system includes feedback to achieve a desired output. Open loop systems operate independently of feedback, while closed loop systems use feedback to adjust. Common examples of open and closed loop systems are also provided like electric hand driers and automatic washing machines. The basic elements of control systems like resistors, inductors, and capacitors are also introduced in the context of electrical systems.
The document provides an introduction to control systems, including definitions, representations, classifications, and components. It defines a control system as a collection of devices that function together to drive a system's output in a desired direction. Control systems are classified as open-loop or closed-loop. Closed-loop systems include feedback, feedforward, and adaptive control systems. The key components of a control system are the input, process, output, sensing elements, and controller.
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 provides examples. It begins by describing the general process for designing a control system and examines examples throughout history. Modern control engineering includes strategies to improve manufacturing, energy efficiency, automobiles, and other applications. The document also discusses the gap between physical systems and their models in control system design and how an iterative process can effectively address this gap.
This document from Northampton Community College provides an overview of control systems basics. It defines key terms like control, controller, open loop and closed loop systems. It explains the main components of a control system including sensors, actuators and feedback. It also discusses different types of controllers, control classifications and factors that can affect control systems like disturbances. The document aims to introduce students to the fundamental concepts and components of industrial control systems.
This paper outlines fundamental topics related to classical control theory. It moves from modeling simple mechanical systems to designing controllers to manage said system.
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.
A controller seeks to minimize the difference between the actual value of a system and the desired set point value. It receives an input signal, compares it to the set point, and determines the appropriate output signal to provide corrective action. Controllers can be continuous or discontinuous. Common controller types include proportional, integral, derivative, and PID controllers. The transfer function represents the relationship between the input and output signals of a control system, and gain determines the strength of a controller's action above or below the set point.
This document discusses various types of motor control, including on-off control and PID control. It begins with an overview of closed-loop control using motor feedback via encoders for velocity and position control. The main focus is on introducing PID control in a step-wise manner, first explaining on-off control and then proportional, integral and derivative controllers. It provides the mathematical formulas for these controller types and discusses implementing them in software and tuning the PID parameters.
Basic Components of a control system, Feedback and its effect, Types of feedback control Systems, Block diagrams: representation and reduction, Signal Flow Graphs, Modeling of Physical Systems: Electrical Networks and Mechanical Systems, Force-voltage analogy, Force-current analogy.
This document provides an overview of lecture 1 on control engineering. It defines key terms like control system, feedback, open-loop and closed-loop systems. A control system aims to force a system to behave in a desired way by controlling variables. It explains the basic components of a control system like the controlled variable, actuator and plant. Finally, it gives examples of open-loop and closed-loop room temperature control systems to illustrate the differences between the two approaches.
Cascade control of superheated steam temperature with neuro PID controllerISA Interchange
In this paper, an improved cascade control methodology for superheated processes is developed, in which the primary PID controller is implemented by neural networks trained by minimizing error entropy criterion. The entropy of the tracking error can be estimated recursively by utilizing receding horizon window technique. The measurable disturbances in superheated processes are input to the neuro-PID controller besides the sequences of tracking error in outer loop control system, hence, feedback control is combined with feedforward control in the proposed neuro-PID controller. The convergent condition of the neural networks is analyzed. The implementation procedures of the proposed cascade control approach are summarized. Compared with the neuro-PID controller using minimizing squared error criterion, the proposed neuro-PID controller using minimizing error entropy criterion may decrease fluctuations of the superheated steam temperature. A simulation example shows the advantages of the proposed method.
This slide show contains a detailed explanation of the following topics from Control System:
1. Open loop & Closed loop
2. Mathematical modeling
3. f-v and f-i analogy
4. Block diagram reduction technique
5. Signal flow graph
Introduction, Feature of Control System, Requirement of Good Control System, Types of Control System, Open-loop control system, Closed-loop control system, Comparison of Closed-Loop and Open-Loop Control System, Signal flow graph, Conversion of Block Diagrams into Signal Flow Graphs, and Questions.
This document provides an introduction to control systems engineering. It defines the basic components of a control system as an input, control system, and output. It describes open and closed loop control systems, with open loop systems having no feedback and closed loop using feedback to compensate for disturbances. Examples of open and closed loop antenna positioning systems are given. The document also discusses different types of feedback control systems including SISO, MIMO, linear, nonlinear, continuous, discrete, time-varying, and time-invariant systems.
This document provides information about a control systems course at Muthayammal Engineering College. It includes definitions of a system, control system, and examples. It describes the basic components of a control system including the controller, command input, controlled variable, and disturbances. It also explains open loop and closed loop systems as well as feedback and feedforward control. Mathematical modeling of mechanical systems including rotational and translational systems is discussed. Two relevant YouTube videos are provided.
The document provides an introduction to control system design. It discusses that a control system manages the behavior of devices through feedback loops. The summary discusses the main types of control system designs:
1. Open loop and closed loop systems, with closed loop using feedback to regulate outputs based on inputs.
2. Adaptive control systems that can adapt to uncertain or changing parameters.
3. Nonlinear control systems that can handle systems with nonlinear characteristics.
The document outlines common control system components like inputs, outputs, and processing devices. It also provides examples of control systems for applications like temperature control and vehicle cruise control.
Process load,process lag,self regulation,error,control lag,dead time,cycling,discontinious control modes,two position control modes,flaoting control modes,propotional band,offset,propotional control, integral control,derivative control,pid control,pi control,pd control,tuning of pid control
Pe 3032 wk 1 introduction to control system march 04eCharlton Inao
This document outlines the course PE-3032 Introduction to Control Systems Engineering taught by Professor Charlton S. Inao at Defence Engineering University College in Ethiopia in 2012. The course covers topics such as open and closed loop control, Laplace transformations, stability analysis, root locus, frequency response, PID controllers, and digital control. Students are expected to develop abilities in applying mathematical principles to control systems, obtaining mathematical models of systems, deriving transfer functions and state space models, and performing time and frequency domain analysis. Assessment includes a midterm, final exam, lab assessments, and assignments. Recommended textbooks and references are also provided.
Control system basics, block diagram and signal flow graphSHARMA NAVEEN
This document discusses control systems and provides definitions and classifications of control systems. It defines a control system as an arrangement of physical elements connected to regulate, direct or command itself. Control systems are classified as natural or man-made, manual or automatic, open-loop or closed-loop, linear or non-linear. The key difference between open-loop and closed-loop systems is that closed-loop systems have feedback which makes them more accurate, reliable and less sensitive to parameter changes compared to open-loop systems. Examples of both open-loop and closed-loop systems are provided. The document also discusses transfer functions, Laplace transforms, block diagram reduction rules, and signal flow graphs.
The document provides an introduction to relays and contactors. It defines relays as electromagnetically actuated switches that use a magnetic field created by a coil to switch contacts. Relays are used to switch small outputs and currents, while contactors are used to switch larger outputs and currents. The document discusses relay and contactor symbols, diagrams, types, and provides a comparison of their key differences. Specifically, it notes that relays have a clapper-type armature and single contact separation, while contactors have a lifting armature and double contact separation.
This document discusses transfer functions and their derivation from electrical circuits and control systems. It begins by defining a transfer function as the ratio of the Laplace transform of the output variable to the Laplace transform of the input variable. Examples are then given of deriving transfer functions from simple RLC circuits by applying Kirchhoff's laws and taking the Laplace transform. The document also discusses deriving transfer functions from block diagrams of open-loop and closed-loop control systems and provides rules for reducing complex block diagrams to a single transfer function relating the input to the output.
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 provides examples. It begins by describing the general process for designing a control system and examines examples throughout history. Modern control engineering includes strategies to improve manufacturing, energy efficiency, automobiles, and other applications. The document also discusses the gap between physical systems and their models in control system design and how an iterative process can effectively address this gap.
This document from Northampton Community College provides an overview of control systems basics. It defines key terms like control, controller, open loop and closed loop systems. It explains the main components of a control system including sensors, actuators and feedback. It also discusses different types of controllers, control classifications and factors that can affect control systems like disturbances. The document aims to introduce students to the fundamental concepts and components of industrial control systems.
This paper outlines fundamental topics related to classical control theory. It moves from modeling simple mechanical systems to designing controllers to manage said system.
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.
A controller seeks to minimize the difference between the actual value of a system and the desired set point value. It receives an input signal, compares it to the set point, and determines the appropriate output signal to provide corrective action. Controllers can be continuous or discontinuous. Common controller types include proportional, integral, derivative, and PID controllers. The transfer function represents the relationship between the input and output signals of a control system, and gain determines the strength of a controller's action above or below the set point.
This document discusses various types of motor control, including on-off control and PID control. It begins with an overview of closed-loop control using motor feedback via encoders for velocity and position control. The main focus is on introducing PID control in a step-wise manner, first explaining on-off control and then proportional, integral and derivative controllers. It provides the mathematical formulas for these controller types and discusses implementing them in software and tuning the PID parameters.
Basic Components of a control system, Feedback and its effect, Types of feedback control Systems, Block diagrams: representation and reduction, Signal Flow Graphs, Modeling of Physical Systems: Electrical Networks and Mechanical Systems, Force-voltage analogy, Force-current analogy.
This document provides an overview of lecture 1 on control engineering. It defines key terms like control system, feedback, open-loop and closed-loop systems. A control system aims to force a system to behave in a desired way by controlling variables. It explains the basic components of a control system like the controlled variable, actuator and plant. Finally, it gives examples of open-loop and closed-loop room temperature control systems to illustrate the differences between the two approaches.
Cascade control of superheated steam temperature with neuro PID controllerISA Interchange
In this paper, an improved cascade control methodology for superheated processes is developed, in which the primary PID controller is implemented by neural networks trained by minimizing error entropy criterion. The entropy of the tracking error can be estimated recursively by utilizing receding horizon window technique. The measurable disturbances in superheated processes are input to the neuro-PID controller besides the sequences of tracking error in outer loop control system, hence, feedback control is combined with feedforward control in the proposed neuro-PID controller. The convergent condition of the neural networks is analyzed. The implementation procedures of the proposed cascade control approach are summarized. Compared with the neuro-PID controller using minimizing squared error criterion, the proposed neuro-PID controller using minimizing error entropy criterion may decrease fluctuations of the superheated steam temperature. A simulation example shows the advantages of the proposed method.
This slide show contains a detailed explanation of the following topics from Control System:
1. Open loop & Closed loop
2. Mathematical modeling
3. f-v and f-i analogy
4. Block diagram reduction technique
5. Signal flow graph
Introduction, Feature of Control System, Requirement of Good Control System, Types of Control System, Open-loop control system, Closed-loop control system, Comparison of Closed-Loop and Open-Loop Control System, Signal flow graph, Conversion of Block Diagrams into Signal Flow Graphs, and Questions.
This document provides an introduction to control systems engineering. It defines the basic components of a control system as an input, control system, and output. It describes open and closed loop control systems, with open loop systems having no feedback and closed loop using feedback to compensate for disturbances. Examples of open and closed loop antenna positioning systems are given. The document also discusses different types of feedback control systems including SISO, MIMO, linear, nonlinear, continuous, discrete, time-varying, and time-invariant systems.
This document provides information about a control systems course at Muthayammal Engineering College. It includes definitions of a system, control system, and examples. It describes the basic components of a control system including the controller, command input, controlled variable, and disturbances. It also explains open loop and closed loop systems as well as feedback and feedforward control. Mathematical modeling of mechanical systems including rotational and translational systems is discussed. Two relevant YouTube videos are provided.
The document provides an introduction to control system design. It discusses that a control system manages the behavior of devices through feedback loops. The summary discusses the main types of control system designs:
1. Open loop and closed loop systems, with closed loop using feedback to regulate outputs based on inputs.
2. Adaptive control systems that can adapt to uncertain or changing parameters.
3. Nonlinear control systems that can handle systems with nonlinear characteristics.
The document outlines common control system components like inputs, outputs, and processing devices. It also provides examples of control systems for applications like temperature control and vehicle cruise control.
Process load,process lag,self regulation,error,control lag,dead time,cycling,discontinious control modes,two position control modes,flaoting control modes,propotional band,offset,propotional control, integral control,derivative control,pid control,pi control,pd control,tuning of pid control
Pe 3032 wk 1 introduction to control system march 04eCharlton Inao
This document outlines the course PE-3032 Introduction to Control Systems Engineering taught by Professor Charlton S. Inao at Defence Engineering University College in Ethiopia in 2012. The course covers topics such as open and closed loop control, Laplace transformations, stability analysis, root locus, frequency response, PID controllers, and digital control. Students are expected to develop abilities in applying mathematical principles to control systems, obtaining mathematical models of systems, deriving transfer functions and state space models, and performing time and frequency domain analysis. Assessment includes a midterm, final exam, lab assessments, and assignments. Recommended textbooks and references are also provided.
Control system basics, block diagram and signal flow graphSHARMA NAVEEN
This document discusses control systems and provides definitions and classifications of control systems. It defines a control system as an arrangement of physical elements connected to regulate, direct or command itself. Control systems are classified as natural or man-made, manual or automatic, open-loop or closed-loop, linear or non-linear. The key difference between open-loop and closed-loop systems is that closed-loop systems have feedback which makes them more accurate, reliable and less sensitive to parameter changes compared to open-loop systems. Examples of both open-loop and closed-loop systems are provided. The document also discusses transfer functions, Laplace transforms, block diagram reduction rules, and signal flow graphs.
The document provides an introduction to relays and contactors. It defines relays as electromagnetically actuated switches that use a magnetic field created by a coil to switch contacts. Relays are used to switch small outputs and currents, while contactors are used to switch larger outputs and currents. The document discusses relay and contactor symbols, diagrams, types, and provides a comparison of their key differences. Specifically, it notes that relays have a clapper-type armature and single contact separation, while contactors have a lifting armature and double contact separation.
This document discusses transfer functions and their derivation from electrical circuits and control systems. It begins by defining a transfer function as the ratio of the Laplace transform of the output variable to the Laplace transform of the input variable. Examples are then given of deriving transfer functions from simple RLC circuits by applying Kirchhoff's laws and taking the Laplace transform. The document also discusses deriving transfer functions from block diagrams of open-loop and closed-loop control systems and provides rules for reducing complex block diagrams to a single transfer function relating the input to the output.
Cascade control involves a control loop within a control loop. It uses a secondary feedback loop to monitor a process variable that affects the primary process variable being controlled. This helps the primary controller respond to disturbances more quickly before they impact the primary process variable. Examples given include using air temperature to control room temperature more quickly, and using feed flow rate to control liquid level in a tank before pressure changes affect the level.
Time domain specifications of second order systemSyed Saeed
This document discusses time domain specifications of second order systems, including delay time, rise time, peak time, maximum overshoot, settling time, and steady state error. It provides equations to calculate these specifications for a unit step response. It also includes three examples of determining damping ratio, natural frequency, and percentage overshoot for different second order systems.
This document discusses the time response of second order systems. It begins by defining key terms like natural frequency, damped frequency, and damping factor. It then analyzes the time response based on the value of the damping factor, categorizing systems as underdamped, undamped, critically damped, or overdamped. Underdamped systems oscillate with decaying amplitude, undamped systems oscillate without decay, critically damped systems decay exponentially without oscillation, and overdamped systems decay exponentially with two distinct time constants. Equations for the time response are derived for each case.
This presentation discusses the performance of a second-order system. It covers standard test input signals used to analyze systems, such as steps, ramps, and sinusoids. The response and performance indices of an underdamped second-order system are examined, including oscillatory behavior and effects on rise time and overshoot. Adding a third pole or zero can further impact the system response by changing the dominant system poles.
The document discusses timers in programmable logic controllers (PLCs). It covers different timer instructions for Allen-Bradley and Siemens PLCs including TON, TOF, and RTO timers. It describes the parameters, status bits, and functionality of TON and TOF timers. It also provides examples of how timers can be used to implement circuits for oscillation, startup warnings, and sequential startup. The maximum timing period of a PLC timer is also summarized.
Pembuatan trainer input output mikroprosesor sebagai pengajaran praktik pener...Miko Eljava
Penelitian ini bertujuan untuk membuat trainer input output sistem mikroprosesor yang dapat mengendalikan lampu iklan, motor stepper, dan lainnya untuk digunakan sebagai media pengajaran praktik Penerapan Dasar Teknik Mikroprosesor pada siswa SMK."
The document discusses the time response analysis of first and second order systems. It defines key concepts like transient response, steady state response, and steady state error. It also discusses the time response of first order systems to unit step, ramp and impulse inputs. The time response is expressed as exponential functions. For second order systems, the response to unit step input is expressed using sine and cosine terms, containing natural frequency and damping ratio.
Time Response Analysis of system
Standard Test Signals
What is time response ?
Types of Responses
Analysis of First order system
Analysis of Second order system
Dokumen tersebut membahas mengenai pengawal analog dan digital. Secara khusus, dokumen tersebut menjelaskan prinsip-prinsip pengawal analog menggunakan amplifier kendalian (op-amp) dan beberapa jenis litar op-amp seperti amplifier alikan, bukan alikan, kamilan, kerbedaan, pencampur dan pembanding. Dokumen tersebut juga mendemonstrasikan penggunaan op-amp untuk membangun pengawal dua mod (buka tutup) dan
This document discusses time response analysis of control systems. It covers topics such as first-order and second-order systems, including their poles, zeros, and responses. For first-order systems, it describes concepts like time constant, rise time, and settling time. It then covers different types of responses for second-order systems, including overdamped, underdamped, undamped, and critically damped. Examples are provided to illustrate these concepts and analyze systems from their transfer functions.
This document provides an overview of complex power in electrical systems. It defines phasor representation using complex exponentials to simplify analysis of constant frequency AC circuits. It describes how real and reactive power can be calculated from voltage and current phasors and discusses power factor. The document also discusses reactive compensation using capacitors to improve power factor by supplying reactive power locally. It provides an example of power factor correction and introduces balanced three-phase power systems with both wye and delta connections.
The document discusses different categories of quality costs: presentation costs, appraisal costs, internal failure costs, and external failure costs. It provides examples of costs that fall under each category and explains how tracking quality costs can help companies identify areas for improvement and prioritize quality initiatives. Quality costs can be optimized by finding the right balance between prevention costs and failure costs.
This document provides an overview of time domain analysis techniques for control systems. It discusses common test inputs like impulse, step, and ramp functions used to characterize system performance. It describes how to determine a system's poles and zeros from its transfer function and use a pole-zero plot to understand system dynamics. Standard forms are presented for first and second order systems. Transient performance metrics like rise time, peak time, settling time, and overshoot are defined for characterizing step responses. The effects of poles and zeros on the system response are explained.
This chapter discusses transient response in control systems. It describes how to determine the time response from a transfer function using poles and zeros. For a first order system, the chapter defines the time constant, rise time and settling time. For a second order system, it defines damping ratio, percent overshoot, settling time and peak time. The chapter also discusses higher order systems and how to approximate them as second order systems. Exercises are provided to analyze systems and design feedback control systems based on desired transient response specifications.
Okay, let's solve this step-by-step:
* Set point (Io) = 12 rpm
* Range = 15 - 10 = 5 rpm
* Initial controller output = 22%
* KI = -0.15%/s/% error
* Error = Actual - Set point = ?
* Given: Initial output is 22%
* To find: What is the actual speed?
Using the integral control equation:
Iout = Io - KI * ∫edt
22% = 12rpm - 0.15%/s/% * ∫e dt
∫e dt = (22% - 12rpm)/0.15%/s/% = 40%*
Design and tuning of pid override control system based on signal filteringMinh Chien Tran
The document proposes an override control system consisting of two anti-reset windup controllers, a common actuator, and a limiter surrounded by pre and post filters. The prefilter inverts the post-filter. The limiter defines the desired limit on the override variable and its setpoint. In contrast to standard systems, the proposed structure achieves the override variable response practically without overshoot. The postfilter parameters are adjusted using a defined procedure. Simulations demonstrate the ideas, and experiments on a thermal plant confirm the solution's validity.
1. Electro-pneumatic control integrates pneumatic and electrical technologies. Solenoid valves are used as the interface between electrical and pneumatic systems, and devices like sensors provide feedback.
2. Seven basic electrical devices used in electro-pneumatics are listed as push button switches, limit switches, pressure switches, solenoids, relays, timers, and temperature switches. Proximity sensors and counters are also used.
3. Electro-pneumatic control involves three main steps - signal input devices generate signals, signal processing uses relays or PLCs, and signal outputs activate solenoids to control pneumatic valves and cylinders.
Pneumatics Circuits Components (Circuit details)S K
This are the slides of pneumatic circuits based.Copyright of this slides are not allowed without my permission. In case of that, strongly actions will taken.
Design and tuning of PID override control system based on signal filteringMinh Chien Tran
This document describes a proposed override control system that uses two anti-reset windup controllers, a common actuator, and pre-filter and post-filter to limit an override variable without overshoot. The standard override control system uses a min/max selector that can cause overshoot. The proposed system instead uses a post-filter and limiter to define the desired limit and set-point for the override variable. Simulation results demonstrate that the proposed system can limit the override variable without overshoot, which is an improvement over the standard approach. An experiment on a laboratory thermal plant confirms the effectiveness of the proposed solution.
This document introduces control systems and their basic components. It defines a control system as a collection of components designed to drive a given system (plant) with a given input to achieve a desired output. Examples of control systems include speed control of an electric motor and lift generation in an aircraft. The document also distinguishes between open-loop and closed-loop control systems, with closed-loop systems able to correct errors between the desired and actual output using feedback. The objectives of controller design are then discussed as achieving speed, accuracy and stability in the presence of disturbances and plant variations.
Three control loops are described: open loop control which takes action without feedback, closed loop control which measures process variables, compares to setpoints, and adjusts to correct deviations, and proportional control which adjusts the correcting element proportionally to the error. Key aspects of proportional, integral, and derivative control modes are also summarized. Proportional control responds directly to error, integral control eliminates offset through repeated proportional action, and derivative control improves response in slow processes by anticipating needed output changes.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
This document provides an overview of control systems, including:
- Defining the basic components and configurations of control systems
- Describing open-loop and closed-loop systems, their advantages and disadvantages
- Classifying control systems as single-input single-output, multiple-input multiple-output, linear, non-linear, time-variant, or time-invariant
- Outlining a 6-step general process for designing a control system
- Assigning an activity for students to describe the operation of a control system from a selected sector by reverse engineering it according to the design steps
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- 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.
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This document discusses closed-loop control of DC motors. It covers topics such as transfer functions of motor control systems, proportional-integral-derivative (PID) control, and examples of open-loop and closed-loop speed and torque control systems. The document is authored by Fadzilah Hashim and focuses on Topic 3 of closed-loop control. PID control is discussed in detail, explaining the proportional, integral and derivative terms and their effects on the system response.
Lecture Notes: EEEC4340318 Instrumentation and Control Systems - Introductio...AIMST University
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The document discusses attribute control charts which are used to monitor quality characteristics that can only have discrete responses like pass/fail rather than continuous variable measurements. It provides information on the different types of attribute control charts including P, NP, C, and U charts. The key steps for constructing these charts are outlined which include collecting data, calculating control limits, and plotting sample points to check if the process is in control. Formulas for calculating control limits of each chart type are also presented along with examples of how to construct and interpret P, NP, C and U charts.
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Proses rawatan haba dapat mengubah sifat mekanik logam dengan mengubah struktur mikro logamnya. Beberapa proses utama termasuk sepuh lindap untuk melembutkan logam, pengerasan untuk meningkatkan kekerasan, dan pembajaan untuk mengurangkan keterikan pengerasan. Proses-proses lain seperti pengerasan permukaan dan penitridaan digunakan untuk memberi lapisan keras pada permukaan logam.
Bab 6 membahas proses kerja logam sejuk dan panas. Kerja sejuk melibatkan pengubahan plastik pada suhu bilik untuk meningkatkan kekerasan dan kekuatan logam tetapi mengurangkan kemuluran. Kerja panas melibatkan pengubahan plastik sedikit di atas suhu penghabluran semula untuk memperbaiki struktur bijian dan sifat mekanikal logam. Proses kerja panas utama termasuk menggelek, tempaan dan ekstrusi.
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This document discusses gears and gearing concepts. It begins by introducing gears and their uses in power transmission applications. It then describes various types of gears including spur gears, internal gears, helical gears, herringbone gears, bevel gears, miter gears, angular bevel gears, hypoid gears, worm and worm gears, and rack and pinion gears. The document also defines common gear terminology like addendum, dedendum, pitch diameter, pitch circle, etc. It discusses measuring and testing gears using a gear tooth vernier caliper and the plug method. The objectives are to understand gear types and functions, know the parts of gears, and understand spur gear measurement.
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Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
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This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
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1. E3145/2/1
PRINCIPLES OF CONTROLLERS
PRINCIPLES OF CONTROLLERS
OBJECTIVES
General Objective : To apply the concept of principles of controllers.
Specific Objectives : At the end of the unit you will be able to :
Explain the basic concept of principles of controllers.
State the definition of basic controller components.
Draw the schematic circuits for controller action types.
Explain the circuits operations.
UNIT2
2. E3145/2/2
PRINCIPLES OF CONTROLLERS
2.0 EXPLANATION OF PRINCIPLES OF BASIC CONTROLLERS
Controller is a device which receives input from two points :
(i) a value which is sent by transmitter
(ii) a value which is set by set point
The output from the controller is send to the valve controller.
Figure 2.0 : Block Diagram of controller
(Source : Mansor Bin Laman (1996), Amalan Bengkel Peralatan)
INPUTINPUT
The main component of
controller are :
Comparator mechanism
Controller
Feedback mechanism
Comparator
mechanism
Feedback
mechanism
Relay
Sensor
MV
SP
Output
Supply
3. E3145/2/3
PRINCIPLES OF CONTROLLERS
Figure 2.0 shows the input controller is a signal which is sent by
transmitter. This signal is known as a transmitter signal (MV) and set point. If
the output depends on the two inputs functions well and the process is in a
stable condition, then the transmitter signal is similar to the set point. The
comparator mechanism functions as comparator of both input signals. An
error will exist if the input value is not the same. The detector will detect the
error signal and determine if there is imbalance between error signal and
feedback signals. If there is a difference, the detector will balance both of
these signals. The feedback mechanism is a mechanism which balances the
system. The feedback signal is always similar to the output signal.
The main components of controller are :
(i) Comparator mechanism. It consists of two bellows which is for
transmitter signal and set point signal. Its function is to
differentiate both the input signals.
(ii) The controller consists of a flapper and nozzle. Its function is to
detect the error signal from the different output and the
feedback signal.
(iii) The feedback mechanism consists of the feedback bellows. Its
function is to balances and stable the system. It also has an
effect towards multiple output of a controller.
2.1 EXPLANATION OF BASIC CONTROLLERS COMPONENTS
2.1.1 Bellows
The structure of a bellow is shown in Figure 2.1. It consists of a thin
metal which is formed into a wave cylinder shape. Air pressure will
depress a bellow. When air pressure is increased, bellow will extend
and displacement exists. This displacement is linked to the convenient
‘lever’ for give the pressure increase reading. This displacement force
include in mechanical force categories.
4. E3145/2/4
PRINCIPLES OF CONTROLLERS
Figure 2.1 : Bellows
(Source : Mansor Bin Laman (1996), Amalan Bengkel Peralatan)
2.1.2 Flapper Nozzle
Flapper nozzle is a displacement transducer which the displacement
into a differential pressure parameter. Figure 2.2 shows a structure of flapper
nozzle. Basically air is used as work liquid. Air will give a constant time about
0.1s. Flapper nozzle is used for measuring of displacement between load
cell. This displacement is very small.
Unknown pressure Bellows movement
5. E3145/2/5
PRINCIPLES OF CONTROLLERS
Figure 2.2 : Flapper Nozzle
(Source : Mansor Bin Laman (1996), Amalan Bengkel Peralatan)
2.1.3 Restrictor
Accuracy of an instrument is guaranteed by manufacturers only for a
certain limit. Normally it is stated in the form of a full scale percent of that
particular instrument. Deflection from the specification is called restrictor
error.
Fixed Resistance
Variable Resistance
x
Flapper Plat Measured element
Ρ0
Ρs
6. E3145/2/6
PRINCIPLES OF CONTROLLERS
Activity 2A
TEST YOUR UNDERSTANDING BEFORE YOU CONTINUE WITH THE
NEXT INPUT…!
2.1 Explain the basic controllers components below:
(i) Bellows
(ii) Flapper nozzle
2.2 Draw the diagram of bellow and flapper nozzle.
7. E3145/2/7
PRINCIPLES OF CONTROLLERS
Feedback To Activity 2A
2.1. (i) Bellows consists of a thin metal which is formed into a wave
cylinder shape. Air pressure will depress a bellow. When air pressure
is increased, bellows will extend and displacement exists. This
displacement is linked to convenient ‘ lever ’ for give the pressure
increase reading. This displacement force include in mechanical force
categories.
(ii) Flapper nozzle is a displacement transducer which the
displacement into a differential pressure parameter. Basically air is
used as work liquid. Air will give a constant time about 0.1s. Flapper
nozzle is used for measuring of displacement between load cell. This
displacement is very small.
2.2 (i) Bellows
Unknown pressure Bellows movement
9. E3145/2/9
PRINCIPLES OF CONTROLLERS
2.2DESIGN OF SCHEMATIC CIRCUIT FOR CONTROLLER ACTION TYPES
2.2.1 Types of Controller
There are a few types of controller used to control a process either in
a form of Proportional output to the error, Proportional and Integral to the
error or Proportional and Derivative output to the first error.
Controller can be used in the form of single mode of Proportional,
Integral, or Derivative, two mode of Proportional and Integral (P+I) and
Proportional and Derivative (P+D), and three mode of Proportional, Integral
and Derivative (P+I+D).
The figures below show the design of schematic circuit for controller
action types.
There are three types of
controller :
a) Proportional
controller
b) Integral controller
c) Derivative controller
INPUTINPUT
11. E3145/2/11
PRINCIPLES OF CONTROLLERS
(iii) Integral Controller (I)
(Source : Mansor Bin Laman (1996), Amalan Bengkel Peralatan)
(iv) Derivative Controller (D)
(Source : Mansor Bin Laman (1996), Amalan Bengkel Peralatan)
12. E3145/2/12
PRINCIPLES OF CONTROLLERS
(iv) Proportional + Integral Controller (P+I)
(Source : Mansor Bin Laman (1996), Amalan Bengkel Peralatan)
(v) Proportional + Integral + Derivative Controller (P+I+D)
(Source : Mansor Bin Laman (1996), Amalan Bengkel Peralatan)
13. E3145/2/13
PRINCIPLES OF CONTROLLERS
Activity 2B
TEST YOUR UNDERSTANDING BEFORE YOU CONTINUE WITH THE
NEXT INPUT…!
2.3 List the form of controllers used to control a process.
2.4 Design the schematic circuit for controller action types below.
(i) Proportional controller (P)
(ii) Integral controller (I)
(iii) Derivative controller (D)
14. E3145/2/14
PRINCIPLES OF CONTROLLERS
Feedback To Activity 2B
2.3 Controller can be used in the form of
(a) Single mode of Proportional, Integral, or Derivative
(b) Two mode of Proportional and Integral (P+I) and Proportional
Derivative (P+D)
(c) Three mode of Proportional, Integral and Derivative (P+I+D).
2.4 (i)
16. E3145/2/16
PRINCIPLES OF CONTROLLERS
2.3 EXPLANATION OF CIRCUITS OPERATION
2.3.1 Proportional Controller (P)
This controller can be found in Proportional controller where the output is
always proportional to the error ( e ) signal. If the error signal is small, the control
action will also be small and if the error signal is high, the control action will also be
high. Once the controller detects an error, it will start to act. Output depends on
controller gain, kc i.e.
controller output = controller gain x error
Figure 2.4 (see INPUT 2.2) shows, when measured signal equals to the set point,
the system is stable. In other words, if the input process is equal to the output
process, a stable system is obtained. If the Proportional controller is used there will
be an offset where the measured signal will not reach the set point. Therefore if the
control valve has to be 50% opened, we need to open the control valve more than
50% to achieve stability.
2.3.2 Integral Controller (I)
Integral controller responses to the integration of error signal to time. So,
output is proportional to the area below the curve with time,
Controller output α ∫ t
e dt
In Figure 2.6 (see INPUT 2.2), bellows and spring are in the reverse position
compared to Proportional controller in Figure 2.5.
INPUTINPUT
17. E3145/2/17
PRINCIPLES OF CONTROLLERS
2.3.3 Derivative Controller (D)
Derivative controller reacts to the rate of change but not to the change of
magnitude. Output is proportional to the derivation error signal (e) to time,
Controller output α de
dt
If error is not changing or fixed there will be no output. Derivative controller is shown
in Figure 2.7 (see INPUT 2.2). Derivative controller has one limit which is known as
Derivative Limit. This limit distinguishes Proportional Controller and Derivative
Controller. In a stable condition the derivative controller does not affect the output
and it is always used in the process where temperature is involved.
As a conclusion, if we want a fast controller, then the Proportional controller
is better but offset will occur. However, if we want to reduce offset, the Derivative
controller can be used and we want to eliminate it, then the Integral controller
should used.
2.3.4 Two Mode Control System (Proportional and Integral Controller)
The Figure 2.8 (see INPUT 2.2) shows a basic concept of a two mode
control system. The comparator mechanism (which consists of two bellows) is place
on one end of lever while on the other end there are two feedback bellows. A
sensor is placed between the feedback mechanism and comparator. The operation
of a two mode control system is different from a single mode control system
because it combines the action of either both Proportional controller or Integral
controller only.
Based on Figure 2.8, two things are added to the controller i.e. Integral/
Reset bellows and Integral limit (adjustable). When measured signal is increased,
force impedance will come closer to the nozzle and thus will increase output.
Increased pressure will make proportional bellow change the position of force
impedance hence stabilize output pressure. Pressure will drop when it passes
through integration unit. This pressure will pass integration bellow and push force
impedance closer to the nozzle. So, output pressure can be increased further.
18. E3145/2/18
PRINCIPLES OF CONTROLLERS
A stable system will be achieved when measured signal is equal to the set
point and output pressure will be stable. Thus, offset can be eliminated. If a stable
system cannot be achieved, the integration limit can be adjusted. If the integration
limit is fully opened, the controller will act as an ON/OFF Controller. If integration
limit is fully closed, the controller will act as a Proportional controller only.
2.3.5 Three Mode Controller System (P+I+D)
Figure 2.9 (see INPUT 2.2), shows three mode controller system. The
operation is similar to P+I Controller but with the addition of a derivative limit. For
this system, all controllers (Proportional, Integral and Derivative) will affect the
responses. So, we need to adjust every controller to suit the process. Adjustments
need to be done individually to stabilize process and eliminate offset. To achieve
that, integral limit and derivative limit must be adjusted correctly.
2.3.6 Advantages and Disadvantages
Controllers have advantages and disadvantages. Table 2.1 below shows the
advantages and disadvantages of a single and two mode controller.
CONTROLLER ADVANTAGES DISADVANTAGES
Proportional Faster response when
load is changing
Offset exist
Integral Eliminate offset Longer recovery time
Derivative Reduce offset No output when no error
Proportional + Derivative Reduce recovery time and
offset
Offset still occurs
Proportional + Integral Can eliminate offset Longer recovery time
Table 2.1
(Source : Mansor Bin Laman (1996), Amalan Bengkel Peralatan)
19. E3145/2/19
PRINCIPLES OF CONTROLLERS
Activity 2C
TEST YOUR UNDERSTANDING BEFORE YOU CONTINUE WITH THE
NEXT INPUT…!
2.5 Draw a suitable figure and explain a basic concept of a two mode
control system (Proportional and Integral controller)
2.6 Give the advantages and disadvantages of Proportional, Integral,
Derivative, Proportional + Derivative and Proportional + Integral.
20. E3145/2/20
PRINCIPLES OF CONTROLLERS
Feedback To Activity 2c
2.5
Based on Figure 2.12, two things are added to the controller i.e.
Integral/ Reset bellows and Integral limit (adjustable). When measured signal
is increased, force impedance will come closer to the nozzle and thus will
increase output. Increased pressure will make proportional bellow change
the position of force impedance hence stabilize output pressure. Pressure
will drop when it passes through integration unit. This pressure will pass
integration bellow and push force impedance closer to the nozzle. So, output
pressure can be increased further.
21. E3145/2/21
PRINCIPLES OF CONTROLLERS
A stable system will be achieved when measured signal is equal to
the set point and output pressure will be stable. Thus, offset can be
eliminated. If a stable system cannot be achieved, the integration limit can be
adjusted. If the integration limit is fully opened, the controller will act as an
ON/OFF Controller. If integration limit is fully closed, the controller will act as
a Proportional controller only.
2.6 Advantages and Disadvantages
CONTROLLER ADVANTAGES DISADVANTAGES
Proportional Faster response when
load is changing
Offset exist
Integral Eliminate offset Longer recovery time
Derivative Reduce offset No output when no error
Proportional +
Derivative
Reduce recovery time and
offset
Offset still occurs
Proportional +
Integral
Can eliminate offset Longer recovery time
22. E3145/2/22
PRINCIPLES OF CONTROLLERS
KEY FACTS
1. Controller can be used in the form of single mode of Proportional,
Integral, or Derivative, two mode of Proportional and Integral
(P+I) and Proportional and Derivative (P+D), and three mode of
Proportional, Integral and Derivative (P+I+D).
2. Proportional controller (P)
Output depends on controller gain, kc i.e.
Controller output = controller gain x error
3. Integral controller (I)
Output is proportional to the area below the curve with time,
Controller output α ∫ t
e dt
4. Derivative controller (D)
Output is proportional to the derivation error signal (e) to time,
Controller output α de
dt
23. E3145/2/23
PRINCIPLES OF CONTROLLERS
SELF-ASSESSMENT
You are approaching success. Try all the questions in this self-assessment
section and check your answers with those given in the Feedback on Self-
Assessment given on the next page. If you face any problems, discuss it
with your lecturer. Good luck.
Q2-1 State the definition of restrictor.
Q2-2 Design the schematic circuit for controller action types below.
(i) P+I
(II) P+I+D
Q2-3
(a) State the difference between two mode control system and single
mode system.
(b) Explain the operation of three mode controller system (P+I+D)
24. E3145/2/24
PRINCIPLES OF CONTROLLERS
Feedback To Self-Assessment
Have you tried the questions????? If “YES”, check your answers now.
Q2-1 Accuracy of an instrument is guaranteed by manufacturers only for a
certain limit. Normally it is stated in the form of a full scale percent of
that particular instrument. Deflection from the specification is called
restrictor error.
Q2-2 (i) P+I
25. E3145/2/25
PRINCIPLES OF CONTROLLERS
(ii) P+I+D
Q2-3
(a) The operation of two mode control system is different to single mode
control system because it combine the action of either both
Proportional controller or Integral controller only.
(b) The operation of P+I+D controller is similar to P+I Controller but with
the addition of derivative limit. For this system, all controllers
(Proportional, Integral and Derivative) will affect the response. So, we
need to adjust every controller to suit the process. Adjustment need to
be done individually to stabilize process and eliminate offset. To
achieve that, integral limit and derivative limit must be adjusted
correctly.