This document discusses the functional elements of a measurement system. It describes six key elements: 1) primary sensing element that detects the measured quantity, 2) variable conversion element that converts the output to a suitable form, 3) variable manipulation element that changes the signal level, 4) data transmission element that transmits data between separated elements, 5) data storage and playback element that records and replays data, and 6) data presentation element that communicates the information to users. Examples are given for each element type.
1) The document describes different types of nonlinearities that can occur in systems. It classifies nonlinearities based on their magnitude (incidental or intentional) and frequency (limit cycles, jump resonance, etc.).
2) Some common types of nonlinearities described include saturation, dead zones, backlash, relays, harmonics, and chaotic behavior.
3) Nonlinearities can cause issues like degradation of system performance, limit cycles, and even destabilization of systems. Understanding different nonlinear effects is important for analyzing system behavior.
Static and Dynamic characteristics of Measuring Instrument Archana Vijayakumar
The performance of an instrument is described by means of a quantitative qualities termed as characteristics. They are characterized into two types static and Dynamic.
An open-loop control system does not automatically correct variations in output as it lacks feedback. It relies on external factors like weather to produce electricity from solar cells. A closed-loop system uses feedback to automatically adjust the output to match the desired target despite disturbances. It has a feedback loop with a sensor that detects errors between the actual and target output for the controller to correct through the actuator. Closed-loop systems are not dependent on the input alone to produce the desired output due to this feedback mechanism.
PLC Ladder Diagram basics, with two solved examples
For more information go to
http://shrutizpresentations.blogspot.in/2014/04/plc-ladder-diagram-basics.html
An actuator is a device that converts a control signal into mechanical motion. Actuators require a control signal and a source of energy. Common types of actuators include hydraulic, pneumatic, mechanical, electrical, and piezoelectric actuators. Actuators are used in a variety of applications such as industrial machinery, vehicles, medical devices, consumer electronics, and more. Stepper motors and servo motors are types of electrical actuators that provide precise motion control.
This document presents information on HVDC transmission and FACTS technology. It discusses the advantages and disadvantages of HVDC transmission, including its ability to transmit power over long distances with lower losses compared to AC transmission. It also introduces various FACTS controllers and their advantages in enhancing power flow control and transmission capacity. While FACTS can improve AC system utilization, HVDC may be less expensive for long distance overhead transmission or submarine cables. Both technologies are complementary with HVDC suitable for interconnecting unsynchronized AC systems and FACTS providing added benefits within AC networks.
Open loop and Closed loop system_CSE (2150909)Soham Gajjar
This document defines open loop and closed loop control systems. It provides examples of each type of system.
Open loop systems do not automatically correct variations in output. Examples given are automatic washing machines and electric hand dryers. Advantages are simplicity and cost, disadvantages are inaccuracy and need for recalibration.
Closed loop systems do automatically correct variations in output using feedback. Examples provided are missile tracking and temperature control. Advantages include high accuracy and ability to correct errors. Disadvantages are more complex design and potential instability.
Mechatronics-Introduction to Mechatronics SystemMani Vannan M
This document provides an introduction to mechatronics systems. It discusses key concepts including the definition of mechatronics as the synergistic combination of mechanics, electronics, and control engineering. The document also outlines the key elements of mechatronics such as information systems, electrical systems, sensors, actuators, computer systems, and real-time interfacing. It describes open-loop and closed-loop control systems as well as continuous-time and discrete-time systems. Finally, it compares the traditional approach to engineering design with the mechatronics approach.
Static and dynamic characteristics of instrumentsfreddyuae
Static characteristics describe an instrument's performance when measuring quantities that remain constant or vary slowly. They include properties like linearity, sensitivity, resolution, repeatability, hysteresis, and environmental effects. Dynamic characteristics describe how the instrument responds when the measured quantity varies rapidly over time. Instruments can be modeled as a series of blocks, each with their own static and dynamic transfer functions. The overall static and dynamic responses are obtained by multiplying the individual block transfer functions. Characterizing both the static and dynamic behavior is important for understanding an instrument's performance.
This document provides an introduction to sensors and transducers. It defines a sensor as a device that receives and responds to a signal or stimulus, and a transducer as a device that converts one form of energy into another. The document then discusses different types of sensors classified by their energy form, including displacement, force, pressure, velocity, and level sensors. It provides examples of common sensor types like potentiometers, strain gauges, LVDTs, optical encoders, and piezoelectric sensors. Finally, it covers the topic of signal conditioning, where the signal from the sensor is prepared for use in other parts of a system.
This document discusses different types of electrical and electronic instruments used for measurement and instrumentation. It describes mechanical, electrical, and electronic instruments. Mechanical instruments measure physical quantities under static conditions, while electronic instruments have a quicker response time than mechanical and electrical instruments. Electrical instruments measure electrical quantities like current, voltage, and power. Instruments can also be categorized as absolute, secondary, digital, analog, indicating, integrating, and recording based on their measurement methodology and output display.
This document provides an overview of the ME 433 - State Space Control course. It introduces the course topics which include state-space modeling, observability and controllability, linear state feedback control, linear quadratic regulator, and Kalman filtering. It also lists relevant textbooks and describes various types of control problems including nonlinear, robust, adaptive, and distributed parameter systems control.
Modern Control - Lec 02 - Mathematical Modeling of SystemsAmr E. Mohamed
This document provides an overview of mathematical modeling of physical systems. It discusses how to derive mathematical models from physical systems using differential equations based on governing physical laws. The key steps are: (1) defining the physical system, (2) formulating the mathematical model using differential equations, and (3) solving the equations. Common model types include differential equation, transfer function, and state-space models. The document also discusses modeling various physical elements like electrical circuits, mechanical translational/rotational systems, and electro-mechanical systems using differential equations. It covers block diagram representation and reduction of mathematical models. The overall goal is to realize the importance of deriving accurate mathematical models for analyzing and designing control systems.
This document provides an introduction to the textbook "Optimal Control Systems" by Desineni Subbaram Naidu. It discusses key topics in optimal control theory including the maximum principle proposed by Pontryagin and applications to diverse fields. The textbook aims to provide a simplified treatment of the subject for graduate students, incorporating MATLAB and SIMULINK. It is intended to cover all topics for a one-semester graduate course in control systems and optimization.
This document discusses state estimation in power systems. It begins by defining state estimation as assigning values to unknown system state variables based on measurements according to some criteria. It then discusses that the most commonly used criterion is the weighted least squares method. It provides an example of using measurements to estimate voltage angles as state variables and calculate other power flows. Finally, it discusses the weighted least squares state estimation technique in detail including developing the measurement function matrix and solving the weighted least squares optimization.
Speed control of dc motor using fuzzy pid controller-mid term progress reportBinod kafle
This document presents a speed control system for a DC motor using a PID fuzzy controller. It discusses modeling the DC motor, tuning the PID controller using Ziegler-Nichols and auto-tuning methods in MATLAB, and comparing the performance of the two tuning approaches. The work completed includes simulating the motor speed control using a conventional PID controller. Remaining work involves defining fuzzy logic membership functions and rules, implementing fuzzy-PID control in MATLAB simulations, and comparing its performance to conventional PID control.
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.
The document provides information about Programmable Logic Controllers (PLCs) including:
(1) An overview of PLCs, their history and components. PLCs were developed to replace relays and are used to automate industrial processes.
(2) Details on how PLCs work, including their main components like the CPU, power supply, and input/output modules. Programs are written and stored in memory to control inputs and outputs.
(3) Examples of ladder logic programming including basic logic elements, timers, counters, and latching circuits. Ladder diagrams provide a visual way to program sequences of operations and control flows.
Reactive power is necessary to maintain adequate voltage levels to transmit active power across transmission systems. It is required for system reliability and to prevent voltage collapse. Voltage is controlled by managing the production and absorption of reactive power on the system. Both insufficient reactive power and excessive reactive power can cause voltage issues and equipment problems if voltage is not properly regulated. Reactive power reserves are also required to maintain voltage stability under contingency events like generator or transmission line outages.
Introduction to Mechatronics – Systems – Concepts of Mechatronics approach – Need for
Mechatronics – Emerging areas of Mechatronics – Classification of Mechatronics. Sensors and
Transducers: Static and dynamic Characteristics of Sensor, Potentiometers – LVDT – Capacitance
sensors – Strain gauges – Eddy current sensor – Hall effect sensor – Temperature sensors – Light
sensors
1. The document describes the syllabus for the course EE1354 - Modern Control Systems. It includes 5 units that cover topics like state space analysis of continuous and discrete time systems, z-transforms, nonlinear systems, and MIMO systems.
2. Key concepts discussed include state variable representation, eigenvectors and eigenvalues, solution of state equations, controllability and observability, and deriving state space models from transfer functions.
3. Methods like pole placement, state feedback, and observer design for state estimation are also covered in the context of analysis and design of control systems.
1) An LQR controller with feedforward control and steady state error tracking was designed and simulated to control an inverted pendulum system.
2) The LQR controller stabilized the unstable system and achieved good performance for the pendulum angle and cart position with minimal overshoot and steady state error.
3) Simulation results demonstrated the robustness of the designed controller under system uncertainties, showing improved performance over existing H-infinity control methods.
The document introduces automation, defining it as a set of technologies that allows machines and systems to operate without significant human intervention. It discusses key areas of industrial automation like controls, communication, and real-time computing. Reasons for automating include increasing productivity, reducing costs, improving quality and safety. The basic elements of an automation system are described as the program of instructions, control systems, process, and power. Advanced functions like safety monitoring, maintenance diagnostics, and error detection and recovery are also introduced.
This document discusses electrical and electronics measurements. It describes the process of measurement by comparing unknown values to known standards. It then discusses key characteristics of instruments used for measurement, including calibration, accuracy, precision, repeatability, reproducibility, drift, span, sensitivity, resolution, and dead zone. The document also covers types of errors in measurement, including static, mistakes, systematic, and random errors. It lists sources of error and types of instruments, including absolute, secondary, indicating, recording, and integrating instruments. Finally, it provides details on permanent magnet moving coil (PMMC) and moving iron (MI) types of indicating instruments.
A sensor detects a physical quantity and converts it to electrical energy, making it a type of transducer. A transducer converts one form of energy to another and can provide feedback to a system, while a sensor only measures a quantity without feedback. Sensors contain just a sensing element, while transducers include sensing element and any associated circuitry.
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.
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.
Open loop and Closed loop system_CSE (2150909)Soham Gajjar
This document defines open loop and closed loop control systems. It provides examples of each type of system.
Open loop systems do not automatically correct variations in output. Examples given are automatic washing machines and electric hand dryers. Advantages are simplicity and cost, disadvantages are inaccuracy and need for recalibration.
Closed loop systems do automatically correct variations in output using feedback. Examples provided are missile tracking and temperature control. Advantages include high accuracy and ability to correct errors. Disadvantages are more complex design and potential instability.
Mechatronics-Introduction to Mechatronics SystemMani Vannan M
This document provides an introduction to mechatronics systems. It discusses key concepts including the definition of mechatronics as the synergistic combination of mechanics, electronics, and control engineering. The document also outlines the key elements of mechatronics such as information systems, electrical systems, sensors, actuators, computer systems, and real-time interfacing. It describes open-loop and closed-loop control systems as well as continuous-time and discrete-time systems. Finally, it compares the traditional approach to engineering design with the mechatronics approach.
Static and dynamic characteristics of instrumentsfreddyuae
Static characteristics describe an instrument's performance when measuring quantities that remain constant or vary slowly. They include properties like linearity, sensitivity, resolution, repeatability, hysteresis, and environmental effects. Dynamic characteristics describe how the instrument responds when the measured quantity varies rapidly over time. Instruments can be modeled as a series of blocks, each with their own static and dynamic transfer functions. The overall static and dynamic responses are obtained by multiplying the individual block transfer functions. Characterizing both the static and dynamic behavior is important for understanding an instrument's performance.
This document provides an introduction to sensors and transducers. It defines a sensor as a device that receives and responds to a signal or stimulus, and a transducer as a device that converts one form of energy into another. The document then discusses different types of sensors classified by their energy form, including displacement, force, pressure, velocity, and level sensors. It provides examples of common sensor types like potentiometers, strain gauges, LVDTs, optical encoders, and piezoelectric sensors. Finally, it covers the topic of signal conditioning, where the signal from the sensor is prepared for use in other parts of a system.
This document discusses different types of electrical and electronic instruments used for measurement and instrumentation. It describes mechanical, electrical, and electronic instruments. Mechanical instruments measure physical quantities under static conditions, while electronic instruments have a quicker response time than mechanical and electrical instruments. Electrical instruments measure electrical quantities like current, voltage, and power. Instruments can also be categorized as absolute, secondary, digital, analog, indicating, integrating, and recording based on their measurement methodology and output display.
This document provides an overview of the ME 433 - State Space Control course. It introduces the course topics which include state-space modeling, observability and controllability, linear state feedback control, linear quadratic regulator, and Kalman filtering. It also lists relevant textbooks and describes various types of control problems including nonlinear, robust, adaptive, and distributed parameter systems control.
Modern Control - Lec 02 - Mathematical Modeling of SystemsAmr E. Mohamed
This document provides an overview of mathematical modeling of physical systems. It discusses how to derive mathematical models from physical systems using differential equations based on governing physical laws. The key steps are: (1) defining the physical system, (2) formulating the mathematical model using differential equations, and (3) solving the equations. Common model types include differential equation, transfer function, and state-space models. The document also discusses modeling various physical elements like electrical circuits, mechanical translational/rotational systems, and electro-mechanical systems using differential equations. It covers block diagram representation and reduction of mathematical models. The overall goal is to realize the importance of deriving accurate mathematical models for analyzing and designing control systems.
This document provides an introduction to the textbook "Optimal Control Systems" by Desineni Subbaram Naidu. It discusses key topics in optimal control theory including the maximum principle proposed by Pontryagin and applications to diverse fields. The textbook aims to provide a simplified treatment of the subject for graduate students, incorporating MATLAB and SIMULINK. It is intended to cover all topics for a one-semester graduate course in control systems and optimization.
This document discusses state estimation in power systems. It begins by defining state estimation as assigning values to unknown system state variables based on measurements according to some criteria. It then discusses that the most commonly used criterion is the weighted least squares method. It provides an example of using measurements to estimate voltage angles as state variables and calculate other power flows. Finally, it discusses the weighted least squares state estimation technique in detail including developing the measurement function matrix and solving the weighted least squares optimization.
Speed control of dc motor using fuzzy pid controller-mid term progress reportBinod kafle
This document presents a speed control system for a DC motor using a PID fuzzy controller. It discusses modeling the DC motor, tuning the PID controller using Ziegler-Nichols and auto-tuning methods in MATLAB, and comparing the performance of the two tuning approaches. The work completed includes simulating the motor speed control using a conventional PID controller. Remaining work involves defining fuzzy logic membership functions and rules, implementing fuzzy-PID control in MATLAB simulations, and comparing its performance to conventional PID control.
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.
The document provides information about Programmable Logic Controllers (PLCs) including:
(1) An overview of PLCs, their history and components. PLCs were developed to replace relays and are used to automate industrial processes.
(2) Details on how PLCs work, including their main components like the CPU, power supply, and input/output modules. Programs are written and stored in memory to control inputs and outputs.
(3) Examples of ladder logic programming including basic logic elements, timers, counters, and latching circuits. Ladder diagrams provide a visual way to program sequences of operations and control flows.
Reactive power is necessary to maintain adequate voltage levels to transmit active power across transmission systems. It is required for system reliability and to prevent voltage collapse. Voltage is controlled by managing the production and absorption of reactive power on the system. Both insufficient reactive power and excessive reactive power can cause voltage issues and equipment problems if voltage is not properly regulated. Reactive power reserves are also required to maintain voltage stability under contingency events like generator or transmission line outages.
Introduction to Mechatronics – Systems – Concepts of Mechatronics approach – Need for
Mechatronics – Emerging areas of Mechatronics – Classification of Mechatronics. Sensors and
Transducers: Static and dynamic Characteristics of Sensor, Potentiometers – LVDT – Capacitance
sensors – Strain gauges – Eddy current sensor – Hall effect sensor – Temperature sensors – Light
sensors
1. The document describes the syllabus for the course EE1354 - Modern Control Systems. It includes 5 units that cover topics like state space analysis of continuous and discrete time systems, z-transforms, nonlinear systems, and MIMO systems.
2. Key concepts discussed include state variable representation, eigenvectors and eigenvalues, solution of state equations, controllability and observability, and deriving state space models from transfer functions.
3. Methods like pole placement, state feedback, and observer design for state estimation are also covered in the context of analysis and design of control systems.
1) An LQR controller with feedforward control and steady state error tracking was designed and simulated to control an inverted pendulum system.
2) The LQR controller stabilized the unstable system and achieved good performance for the pendulum angle and cart position with minimal overshoot and steady state error.
3) Simulation results demonstrated the robustness of the designed controller under system uncertainties, showing improved performance over existing H-infinity control methods.
The document introduces automation, defining it as a set of technologies that allows machines and systems to operate without significant human intervention. It discusses key areas of industrial automation like controls, communication, and real-time computing. Reasons for automating include increasing productivity, reducing costs, improving quality and safety. The basic elements of an automation system are described as the program of instructions, control systems, process, and power. Advanced functions like safety monitoring, maintenance diagnostics, and error detection and recovery are also introduced.
This document discusses electrical and electronics measurements. It describes the process of measurement by comparing unknown values to known standards. It then discusses key characteristics of instruments used for measurement, including calibration, accuracy, precision, repeatability, reproducibility, drift, span, sensitivity, resolution, and dead zone. The document also covers types of errors in measurement, including static, mistakes, systematic, and random errors. It lists sources of error and types of instruments, including absolute, secondary, indicating, recording, and integrating instruments. Finally, it provides details on permanent magnet moving coil (PMMC) and moving iron (MI) types of indicating instruments.
A sensor detects a physical quantity and converts it to electrical energy, making it a type of transducer. A transducer converts one form of energy to another and can provide feedback to a system, while a sensor only measures a quantity without feedback. Sensors contain just a sensing element, while transducers include sensing element and any associated circuitry.
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.
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 discusses several topics related to analog control systems including:
1. Reducing multiple subsystems into a single block to simplify analysis.
2. Describing system response in terms of transient and steady state response.
3. Explaining poles, zeros and how they impact system response.
4. Defining characteristics of second order systems and analyzing their step response.
5. Calculating steady state error for different input types.
6. Analyzing stability by examining the location of poles in the complex s-plane.
The document discusses multiple topics related to analog control systems, including:
1. Reducing multiple subsystems into a single block to simplify analysis.
2. Describing system response in terms of transient and steady state response.
3. Explaining poles, zeros and how they relate to system response.
4. Defining characteristics of second order systems and analyzing steady state error.
5. Discussing stability analysis in the complex s-plane and conditions for stable, unstable and marginally stable systems.
Basic Elements of Control System, Open loop and Closed loop systems, Differential
equations and Transfer function, Modeling of Electric systems, Translational and rotational
mechanical systems, Block diagram reduction Techniques, Signal flow graph
The myphotonics project deals with the construction of opto-mechanical components and optical experiment implementation using modular systems such as LEGO®.
The components are low cost and the instructions that originated them are free to use. OpenAdaptonik and myphotonics can work together sharing the same purpose.
1. The document describes the components of a closed loop control system including the process, measuring element, comparator, controller, and control valve. Block diagrams and transfer functions are developed for each component.
2. Transfer functions relating the output Co(s) to the input Ci(s) and setpoint Csp(s) are derived for the example of a mixing process.
3. For a step change in input Ci of 2 units, the final output Co is calculated to be 1.515 units.
Transient and Steady State Response - Control Systems EngineeringSiyum Tsega Balcha
. Two crucial aspects of this behavior are transient and steady-state responses. These concepts encapsulate how a system behaves over time, from the moment an input is applied to when the system settles into a stable state. The transient response of a system characterizes its behavior during the initial phase after a change in input. It reflects how the system reacts as it transitions from one state to another. This phase is marked by dynamic changes in the system's output as it adjusts to the new conditions imposed by the input.
Characteristics of Transient Response are Time Constant, overshoot, settling time and damping.
Once the transient effects have subsided, the system enters the steady-state, where its behavior becomes constant over time. In this phase, the system operates under stable conditions, and its output remains within a narrow range around the desired value, despite fluctuations in input or external disturbances. Characteristics of Steady-State Response are Steady-State Error, stability, accuracy, robustness,.
The document discusses the static and dynamic performance characteristics of measuring instruments. It describes how instruments can be modeled as zero-order, first-order, or second-order systems depending on how their output responds to changes in input over time. Zero-order instruments have an immediate output response, while first-order instruments exhibit a lag due to a time constant. Second-order instruments may also oscillate before reaching steady-state. Examples are given like thermometers and potentiometers to illustrate different order responses. Dynamic inputs like step, ramp and periodic signals are also discussed to analyze instrument behavior under transient and steady-state conditions.
1. The document discusses open loop and closed loop control systems. An open loop system's output is not controlled, while a closed loop system uses feedback to maintain its output constant despite disturbances.
2. A closed loop system consists of a process, measuring element, comparator, controller and final control element. The controller acts to minimize the error between the measured and desired output.
3. Transfer functions can be derived to model the response of open and closed loop systems. The closed loop transfer function depends on the process, controller, and other elements.
control system Lab 01-introduction to transfer functionsnalan karunanayake
The document provides information about transfer functions and their characteristics including time response, frequency response, stability, and system order. It discusses different types of systems including first order and second order systems. It also demonstrates how to analyze transfer functions and obtain step and impulse responses using MATLAB. Key points include:
- Transfer functions relate the input and output of a system in the Laplace domain
- Time and frequency responses provide information about a system's behavior over time and at different frequencies
- Stability depends on the locations of the poles - systems are stable if all poles have negative real parts
- First and second order systems have distinguishing characteristics like rise time, settling time, overshoot
- MATLAB commands like step, impulse, pole can
Open Loop and close loop control system ppt.pptxAmritSingha5
The document discusses open loop and closed loop control systems. It defines an open loop system as one where the controller's input is independent of the system's output, as there is no feedback loop. The advantages are simplicity and lower cost, but errors and disturbances cannot be corrected. A closed loop system uses feedback, so the controller can adjust the input based on the output to improve accuracy. It is more complex and costly than open loop, but can correct for errors and disturbances to keep the output closer to the desired value.
The document provides an introduction to automatic control systems. It discusses:
1. The objectives of understanding basic control concepts, mathematical modeling using block diagrams, and studying systems in time and frequency domains.
2. The differences between manual and automatic control systems, with examples of driverless cars versus manual driving.
3. A brief history of automatic control, including James Watt's flyball governor and Ivan Polzunov's water-level regulator.
4. An overview of control system components and their representation in block diagrams.
1. The document describes the objectives and topics of an introductory control systems engineering course. It will introduce modeling, analysis, and design tools for control systems including digital control systems.
2. It provides an overview of what constitutes a control system including open and closed loop examples. The goal is to provide a desired system response by interconnecting system components.
3. Feedback control systems provide advantages like greater accuracy, less sensitivity to disturbances, and improved transient response and steady-state error which can be controlled by adjusting loop gain.
This document discusses open loop and closed loop control systems. An open loop system's control action is independent of the system's output, while a closed loop system's control is dependent on feedback from the output. Open loop systems are simpler but less accurate, while closed loop systems are more complex but can automatically correct errors. The document provides examples of open and closed loop systems and compares their key advantages and disadvantages.
The document discusses transfer functions and Laplace transforms. It explains that transfer functions provide a simple way to relate the input and output of a system by describing the relationship as a ratio of outputs to inputs in the Laplace domain. Common examples of transfer functions for different system elements are provided, such as gears, amplifiers, and DC motors. It also discusses how to calculate overall transfer functions for systems consisting of multiple elements in series and systems with feedback loops.
This document provides information about a Control Systems Theory course, including:
- The assessment breakdown is 20% mini project, 20% lab report, 20% test, and 40% final exam.
- The teaching plan covers topics like system representation, response analysis, stability analysis, and controller design over 14 weeks.
- The objectives are to understand control systems concepts and evaluate system responses.
- Control systems are used to amplify power, allow remote control, improve input/output forms, and compensate for disturbances. Examples given include elevators, cruise control, ABS, and vehicle suspension.
This document summarizes an experiment to study the dynamic response of a two-tank system subjected to step changes in inlet flow rate. The time constant and steady state gain were calculated for each tank at three flow rates. The time constant and gain values are reported in Table 1. No clear trends were observed between the parameters and increasing flow rate. There was a consistent time lag between the response of the first and second tanks.
Several studies have established that strength development in concrete is not only determined by the water/binder ratio, but it is also affected by the presence of other ingredients. With the increase in the number of concrete ingredients from the conventional four materials by addition of various types of admixtures (agricultural wastes, chemical, mineral and biological) to achieve a desired property, modelling its behavior has become more complex and challenging. Presented in this work is the possibility of adopting the Gene Expression Programming (GEP) algorithm to predict the compressive strength of concrete admixed with Ground Granulated Blast Furnace Slag (GGBFS) as Supplementary Cementitious Materials (SCMs). A set of data with satisfactory experimental results were obtained from literatures for the study. Result from the GEP algorithm was compared with that from stepwise regression analysis in order to appreciate the accuracy of GEP algorithm as compared to other data analysis program. With R-Square value and MSE of -0.94 and 5.15 respectively, The GEP algorithm proves to be more accurate in the modelling of concrete compressive strength.
Dear SICPA Team,
Please find attached a document outlining my professional background and experience.
I remain at your disposal should you have any questions or require further information.
Best regards,
Fabien Keller
Newly poured concrete opposing hot and windy conditions is considerably susceptible to plastic shrinkage cracking. Crack-free concrete structures are essential in ensuring high level of durability and functionality as cracks allow harmful instances or water to penetrate in the concrete resulting in structural damages, e.g. reinforcement corrosion or pressure application on the crack sides due to water freezing effect. Among other factors influencing plastic shrinkage, an important one is the concrete surface humidity evaporation rate. The evaporation rate is currently calculated in practice by using a quite complex Nomograph, a process rather tedious, time consuming and prone to inaccuracies. In response to such limitations, three analytical models for estimating the evaporation rate are developed and evaluated in this paper on the basis of the ACI 305R-10 Nomograph for “Hot Weather Concreting”. In this direction, several methods and techniques are employed including curve fitting via Genetic Algorithm optimization and Artificial Neural Networks techniques. The models are developed and tested upon datasets from two different countries and compared to the results of a previous similar study. The outcomes of this study indicate that such models can effectively re-develop the Nomograph output and estimate the concrete evaporation rate with high accuracy compared to typical curve-fitting statistical models or models from the literature. Among the proposed methods, the optimization via Genetic Algorithms, individually applied at each estimation process step, provides the best fitting result.
Construction Materials (Paints) in Civil EngineeringLavish Kashyap
This file will provide you information about various types of Paints in Civil Engineering field under Construction Materials.
It will be very useful for all Civil Engineering students who wants to search about various Construction Materials used in Civil Engineering field.
Paint is a vital construction material used for protecting surfaces and enhancing the aesthetic appeal of buildings and structures. It consists of several components, including pigments (for color), binders (to hold the pigment together), solvents or thinners (to adjust viscosity), and additives (to improve properties like durability and drying time).
Paint is one of the material used in Civil Engineering field. It is especially used in final stages of construction project.
Paint plays a dual role in construction: it protects building materials and contributes to the overall appearance and ambiance of a space.
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Linear control system Open loop & Close loop Systems
1. LINEAR CONTROL SYSTEM EE-324
Credit-Hours: 3+1
Dr. Wazir Muhammad
Electrical Engineering Department
BUET, Khuzdar
2. First Week Modeling of electrical, mechanical and biological control systems, Open and closed-loop systems
Second Week Block diagrams, Second order systems, Step and impulse response, Performance criteria, Steady state error.
Third Week Sensitivity, s-plane system stability.
Fourth Week Test-1
Fifth Week Analysis and design with the root loci method.
Sixth week Frequency domain analysis,
Seventh week Bode plots,
Eight week Nyquist criterion,
Ninth week gain and phase margins,
Tenth week Nichols charts.
Eleventh week Test-2
Twelfth week The State-space method
Thirteenth week state equations,
Fourteenth week flow graphs, stability
Sixteenth week compensation techniques.
3. Recommended Books:
1. Katsushiko, Ogata, “Modern Control Engineering,” McGraw-Hill, `5th edition
2. R. C.Dorf and R. H. Bishop, “Modern Control Systems,” 12th edition
3. B.C. Kuo, “Automatic Control Systems” 7th edition
4. The system whose element are bounded to give desired output is
called Control System
Control Systems
Control System
(Fan, AC,
Refrigerator etc.)
Controlled I/P Controlled O/P
5. Control Systems
A control system is a set of mechanical or electronic devices that
regulates other devices or systems by way of control loops.
A control system is a system, which provides the desired
response by controlling the output. The figure below shows the
simple block diagram of a control system.
Examples − Traffic lights control system, washing machine, etc.
6. 5 meter
Inlet
Outlet
Control
Action/Control
Element
Example of Water Level
We use water level detector having Inlet
and Outlet switch.
Set point is 5 meter (we required water
up to 5 meter level).
We used a tab to open and close.
If your water level maintain up to 5
meter than your system work properly.
If water is more than 5 meter your
system is disturb, than you open the
water tab than again your water level
come on 5 meter.
So, water tab is called as Control Action
or Control Element
7. Quiz
• In cold weather you use the room heater system whole night, find out
the control action, input and output of this system.
• Solution
• Input = Electrical Energy
• Output = Heat Energy
• Action control = ON/OFF Switch
8. Requirements of a Good Control System
• Accuracy (How much your control system is accurate or minimum
error)
• Stability (Stability means sometimes disturbance occur, after
resolve the disturbance and system back in original position means
system is stable otherwise system is unstable).
• Sensitivity (the quality of being easily upset by the minor
fluctuations, like ammeter when disturbance occurs its needle
shows fluctuations)
• Noise (Control system having ability to block the noise)
• Speed (Control system having fast Speed response).
• Oscillation (Control system having less oscillation).
9. Types of Control System
1) Open Loop Control System
2) Closed Loop Control System
10. (1) Open Loop Control System
An open loop control system is a system in which the control action is
totally independent of output of the system.
The accuracy of the system depends on the experience of user.
No feedback is used in the Open Loop Control System.
11. Example of Open Loop Control System
Immersion rod
The immersion rod put inside the water to heat it. It goes on heating the water
but does not have a feedback mechanism to tell you how hot the water is and
when to stop the water heating, that is the perfect example of open loop
control system.
Toaster
Toaster is goes on to increasing the temperature of the bread, but it dose not
know when to stop heating, because sometimes we know that toast is to burn.
13. Simple in construction and design.
Low cost, because it has no more elements are present in the controller
and circuitry is very simple.
It is convenient to use when the output is difficult to measure.
Advantages Open Loop Control System
Disadvantages Open Loop Control System
It is poorly equipped to handle disturbance.
It is not reliable, because not efficiently to handle the disturbance.
I is inaccurate.
14. Example of Open Loop Control System
In open loop control system, the feedback is not connected with the automatic controller, it does not mean at
all that the level transducer or sensor or feedback is not present in the open loop control system, it is just not
connected with the automatic controller as shown in the figure below.
The level transducer is connected with the display, it means if there is a deviation in the height of water in
tank then level transducer will note it and send this reading to the display. But, as we can see that there is no
feedback value coming to the automatic controller hence, it is unaware of the new height, it did not know that
the new height is more than the required or less or equal, Therefore, it can not change the control element
position.
Yes, by seeing the display reading, we can manually change the tap position to control the flow or to maintain
the height of water. Similarly, You can also think of other examples such as room heater without temperature
sensor, water boiling system, normal traffic light system( display is connected to show the timing only, it will
not change the timings of lights according to the traffic flow) etc.
15. Example of Closed Loop Control System
In this example, we have a task that we must maintain the water level at a desired
height (say 5m).
This 5m value is the input (or set point) to the automatic controller, it means that
automatic controller will compare the new height with this set point.
A level transducer is placed in the tank to measure the current height of water in the
tank, this level transducer is connected with automatic controller, now the value(new
height or output) given by the level transducer is compared with the set point(input)
by the comparator.
If the new height is more than the set point then the automatic controller will control
the control element and opens it, so that the water can flow from the outlet and water
level will decreases to desired height again.
If the new height is less than the set point then the automatic controller controls the
control element(tap) and closes it, so that water level will increase in the tank and we
get the desired output.
16. (2) Closed Loop Control System
One is forward path means water in and out.
Second is out match with input calculate the error using
feedback loop.
17. Figure: Block diagram of closed loop control system
Initially take a PLANT (PLANT is a tank, Inlet, outlet, water all things
available in the PLANT).
PLANT connected with Control Element (Tap).
Control Element controlled by controller is known as Automatic Controller.
Automatic Controller work due to error signal E(s).
Error signal generated by Comparator.
Comparator just compare the value of input and feedback to create E(s).
Level Transducer just measure the height above 5 meter and gives to the
Comparator.
So one path is called as Forward Path or Forward Path Gain denoted by
G(s).
Other path is called as Feedback Path or Feedback Path Gain denoted by
H(s)
18. Figure: Block diagram of closed loop control system
Convert Closed Loop Control System Into Canonical Form
Now we draw canonical form
in the G(s) and H(s)
B(s) = Feedback signal
26. Transfer Function
Transfer Function is the ratio of Laplace Transform of output to the Laplace
Transform of input, when all initial conditions are assumed to be zero.
Transfer Function gives the relationship between the Input and the Output
27. Find the Transfer Function of RL Circuit
𝐴𝑝𝑝𝑙𝑦 𝐾𝑉𝐿 𝑓𝑟𝑜𝑚 𝑖𝑛𝑝𝑢𝑡 𝑠𝑖𝑑𝑒
𝑉𝑖 = 𝑅 ∗ 𝑖 + 𝐿
𝑑𝑖
𝑑𝑡
−−−−−−−−−−−−− −(1)
𝐴𝑝𝑝𝑙𝑦 𝐾𝑉𝐿 𝑓𝑟𝑜𝑚 𝑜𝑢𝑡𝑝𝑢𝑡 𝑠𝑖𝑑𝑒
𝑉
𝑜 = 𝐿
𝑑𝑖
𝑑𝑡
−−−−−−−−−−−−− −(2)
40. Find The Transfer Function
Example: Find the Transfer Function of the System is given by:
𝑑2𝑦 𝑡
𝑑𝑡2
+ 3.
𝑑𝑦 𝑡
𝑑𝑡
+ 2. 𝑦 𝑡 = 𝑥 𝑡 𝑤ℎ𝑒𝑟𝑒: 𝑥 𝑡 𝑖𝑠 𝑡ℎ𝑒 𝑖𝑛𝑝𝑢𝑡 & 𝑦 𝑡 𝑖𝑠 𝑡ℎ𝑒 𝑜𝑢𝑡𝑝𝑢𝑡
𝑠2
. 𝑌 𝑠 − 𝑦 0−
− 𝑦′
0−
+ 3. 𝑠. 𝑌 𝑠 − 𝑦 0−
+ 2. 𝑌 𝑠 = 𝑋(𝑠)
Solution:
All initial conditions are zero
𝑠2
. 𝑌 𝑠 + 3𝑠. 𝑌 𝑠 + 2. 𝑌 𝑠 = 𝑋(𝑠)
𝑌 𝑠 [𝑠2
+ 3𝑠 + 2] = 𝑋(𝑠)
𝑌 𝑠 =
𝑋 𝑠
𝑠2 + 3𝑠 + 2
𝑇𝑟𝑎𝑛𝑠𝑓𝑒𝑟 𝐹𝑢𝑛𝑐𝑡𝑖𝑜𝑛 =
𝑂𝑢𝑡𝑝𝑢𝑡
𝐼𝑛𝑝𝑢𝑡
=
𝑌 𝑠
𝑋(𝑠)
=
1
𝑠2 + 3𝑠 + 2
−− −𝐴𝑛𝑠𝑤𝑒𝑟
41. Proper Transfer Function
A Transfer Function having Numerator Degree is less than or equal to
Denominator (N D), than such type of Transfer Function is called as Proper
Transfer Function.
𝐻 𝑠 =
1
(𝑠 + 2)(𝑠 + 3)
−−−−−−−− − 𝑁 < 𝐷 −− −𝐼𝑡 𝑖𝑠 𝑃𝑟𝑜𝑝𝑒𝑟 𝑇. 𝐹
𝐻 𝑠 =
𝑠2 + 1
2𝑠2 + 5
−−−−−−−−− −(𝑁𝐷) −−−−− −𝐼𝑡 𝑖𝑠 𝑃𝑟𝑜𝑝𝑒𝑟 𝑇. 𝐹
42. Strictly Proper Transfer Function
A Transfer Function having Numerator Degree is only less than Denominator
(N < D), than such type of Transfer Function is called as Proper Transfer
Function.
𝐻 𝑠 =
𝑠
3𝑠2 + 4
−−−−−−−− − 𝑁 < 𝐷 −− −𝐼𝑡 𝑖𝑠 𝑆𝑡𝑟𝑖𝑐𝑡𝑙𝑦 𝑃𝑟𝑜𝑝𝑒𝑟 𝑇. 𝐹
43. Improper OR Not Proper Transfer Function
A Transfer Function having Numerator Degree is greater than Denominator
(N>D), than such type of Transfer Function is called as Improper Transfer
Function.
𝐻 𝑠 =
3𝑠2 + 7
𝑠2 + 2
−−−−−−−−− −(𝑁 > 𝐷) −−−− −𝐼𝑡 𝑖𝑠 𝐼𝑚𝑝𝑟𝑜𝑝𝑒𝑟 𝑇. 𝐹