Control system 1
It includes the introduction of control system which include advantages and examples. also it has brief description of open loop and closed loop system. It's various real time examples of both the systems with neat and clean block diagram.
This is a notes and also power point presentation of control system notes provided by the senior most lecturer, who has vast experience in teaching the control system subject from more than 38 years.
Through this PDF we can large control system and it's structures (types) very briefly.
This document contains the homework assignment for EE 221. It includes two main questions:
1) Determine if given signals are periodic and find their fundamental periods.
2) Analyze various properties of signals, including whether they are periodic, power signals, or energy signals. Calculate their average power and energy where applicable.
The solutions provide detailed working showing the periodicity analysis and calculations for average power and energy for each sub-part of the two questions. Periodic signals are identified and their fundamental periods calculated. Non-periodic, power and energy signals are also identified.
This document contains solved problems related to digital communication systems. It begins by defining key elements of digital communication systems such as source coding, channel encoders/decoders, and digital modulators/demodulators. It then solves problems involving Fourier analysis of signals and generalized Fourier series. The problems cover topics like measuring performance of digital systems, classifying signals as energy or power, sketching signals, and approximating signals using generalized Fourier series.
Frequency modulation (FM) varies the frequency of the carrier signal based on the message signal. There are two main types:
1. Narrowband FM varies the carrier frequency by a small amount (modulation index β ≤ 0.3), resulting in just the carrier and two significant sidebands.
2. Wideband FM uses a larger frequency deviation (β > 0.3), producing more than two sidebands.
The FM spectrum consists of the carrier frequency fc and an infinite number of sideband frequencies at fc ± nfm, where the amplitudes are determined by Bessel functions and the modulation index β.
EC8352-Signals and Systems - Laplace transformNimithaSoman
The document discusses the Laplace transform and its properties. It begins by introducing Laplace transform as a tool to transform signals from the time domain to the complex frequency (s-domain). It then provides the Laplace transforms of some elementary signals like impulse, step, ramp functions. It discusses properties like linearity, time shifting, frequency shifting. It also covers the region of convergence, causality, stability analysis using poles in the s-plane. The document provides examples of finding the Laplace transform and analyzing signals based on properties like time shifting and frequency shifting. In the end, it summarizes the convolution property and the initial and final value theorems.
The document discusses time domain analysis and standard test signals used to analyze dynamic systems. It describes the impulse, step, ramp, and parabolic signals which imitate characteristics of actual inputs such as sudden shock, sudden change, constant velocity, and constant acceleration. The time response of first order systems to these standard inputs is expressed mathematically. The impulse response directly provides the system transfer function. Step response reaches 63% of its final value within one time constant.
laplace transform and inverse laplace, properties, Inverse Laplace Calculatio...Waqas Afzal
Laplace Transform
-Proof of common function
-properties
-Initial Value and Final Value Problems
Inverse Laplace Calculations
-by identification
-Partial fraction
Solution of Ordinary differential using Laplace and inverse Laplace
Dokumen tersebut membahas tentang rangkaian listrik AC paralel dan seri. Rangkaian paralel memiliki tegangan yang sama pada setiap impedansi, sedangkan arus total pada rangkaian paralel didapat dari penjumlahan arus setiap cabang. Rangkaian seri memiliki arus yang sama pada setiap impedansi, sedangkan tegangan total setara dengan jumlah tegangan setiap cabang. Dokumen ini juga menjelaskan tentang admitansi, impedansi, dan
This document contains the homework assignment for EE 221. It includes two main questions:
1) Determine if given signals are periodic and find their fundamental periods.
2) Analyze various properties of signals, including whether they are periodic, power signals, or energy signals. Calculate their average power and energy where applicable.
The solutions provide detailed working showing the periodicity analysis and calculations for average power and energy for each sub-part of the two questions. Periodic signals are identified and their fundamental periods calculated. Non-periodic, power and energy signals are also identified.
This document contains solved problems related to digital communication systems. It begins by defining key elements of digital communication systems such as source coding, channel encoders/decoders, and digital modulators/demodulators. It then solves problems involving Fourier analysis of signals and generalized Fourier series. The problems cover topics like measuring performance of digital systems, classifying signals as energy or power, sketching signals, and approximating signals using generalized Fourier series.
Frequency modulation (FM) varies the frequency of the carrier signal based on the message signal. There are two main types:
1. Narrowband FM varies the carrier frequency by a small amount (modulation index β ≤ 0.3), resulting in just the carrier and two significant sidebands.
2. Wideband FM uses a larger frequency deviation (β > 0.3), producing more than two sidebands.
The FM spectrum consists of the carrier frequency fc and an infinite number of sideband frequencies at fc ± nfm, where the amplitudes are determined by Bessel functions and the modulation index β.
EC8352-Signals and Systems - Laplace transformNimithaSoman
The document discusses the Laplace transform and its properties. It begins by introducing Laplace transform as a tool to transform signals from the time domain to the complex frequency (s-domain). It then provides the Laplace transforms of some elementary signals like impulse, step, ramp functions. It discusses properties like linearity, time shifting, frequency shifting. It also covers the region of convergence, causality, stability analysis using poles in the s-plane. The document provides examples of finding the Laplace transform and analyzing signals based on properties like time shifting and frequency shifting. In the end, it summarizes the convolution property and the initial and final value theorems.
The document discusses time domain analysis and standard test signals used to analyze dynamic systems. It describes the impulse, step, ramp, and parabolic signals which imitate characteristics of actual inputs such as sudden shock, sudden change, constant velocity, and constant acceleration. The time response of first order systems to these standard inputs is expressed mathematically. The impulse response directly provides the system transfer function. Step response reaches 63% of its final value within one time constant.
laplace transform and inverse laplace, properties, Inverse Laplace Calculatio...Waqas Afzal
Laplace Transform
-Proof of common function
-properties
-Initial Value and Final Value Problems
Inverse Laplace Calculations
-by identification
-Partial fraction
Solution of Ordinary differential using Laplace and inverse Laplace
Dokumen tersebut membahas tentang rangkaian listrik AC paralel dan seri. Rangkaian paralel memiliki tegangan yang sama pada setiap impedansi, sedangkan arus total pada rangkaian paralel didapat dari penjumlahan arus setiap cabang. Rangkaian seri memiliki arus yang sama pada setiap impedansi, sedangkan tegangan total setara dengan jumlah tegangan setiap cabang. Dokumen ini juga menjelaskan tentang admitansi, impedansi, dan
Fourier analysis of signals and systemsBabul Islam
This document discusses Fourier analysis of signals and linear time-invariant (LTI) systems. It defines LTI systems and explains that they are mathematically easy to analyze due to properties like superposition. Fourier analysis is used to represent signals in the frequency domain using techniques like the Fourier series for periodic signals and the Fourier transform for aperiodic signals. The frequency response of an LTI system is its output when the input is an impulse, and the output of any LTI system is the convolution of the input signal and impulse response.
Desain Sistem Kendali dengan Respon FrekuensiRumah Belajar
1. Bab ini membahas desain sistem kendali melalui pendekatan tanggapan frekuensi dengan menggunakan kompensator lead, lag, dan lag-lead untuk mengkompensasi karakteristik plant yang tidak diinginkan.
2. Kompensator digunakan untuk mengubah kurva respons frekuensi agar diperoleh sudut phase lead atau lag yang cukup untuk memenuhi spesifikasi transient yang diinginkan seperti phase margin dan gain margin.
3. Prosedur desain melip
1. The document discusses time response analysis of systems using poles and zeros. It describes different types of system responses including first-order, second-order, and higher-order systems.
2. Key aspects covered include the relationship between poles/zeros and forced/natural responses, effects of varying damping ratios, and specifications for step responses including rise time and settling time.
3. Various figures and examples illustrate pole-zero placement and resulting step responses for different system orders and damping scenarios.
1) Frequency modulation (FM) varies the instantaneous frequency of the carrier signal in proportion to an input modulating signal. This produces sidebands around the carrier frequency.
2) FM is considered superior to amplitude modulation (AM) due to better fidelity, noise immunity, and transmission efficiency. However, FM requires more bandwidth than AM.
3) The modulation index determines the number of significant sidebands and bandwidth occupied. It is defined as the peak frequency deviation divided by the modulating signal frequency.
This document provides a table of commonly used Laplace transform pairs. There are 38 entries in total, each providing the Laplace transform of a specific function. For example, entry 1 gives the Laplace transform of a constant function f(t) as F(s)=1/s. The table also includes brief explanatory notes about properties of Laplace transforms and related functions like the Gamma function.
(1) The document discusses the characteristics and effects of feedback control systems. It describes how feedback can reduce sensitivity to parameter variations, improve stability, and reduce the impact of disturbances.
(2) Feedback works by sampling the output signal and comparing it to the desired output to generate an error signal. This error signal is used to adjust the system via negative feedback.
(3) While feedback provides advantages like improved robustness, it also introduces complexity and reduces the overall system gain. There is therefore a cost associated with incorporating feedback into a control system.
Characteristics of LTI Two port networks, Z-parameter and its Equivalent circuit, Y parameter and its equivalent circuit, Transmission parameter, Inverse Transmission , h-parameter and its equivalent circuit, g-parameter and its equivalent circuit, Condition of reciprocity, Condition of Symmetry.
Generation of AM-DSB-SC using Balanced FET Modulator.pptxArunChokkalingam
This document discusses amplitude modulation using a balanced FET modulator. It begins by providing the mathematical representation of an AM-DSB-SC waveform. It then describes how a balanced FET modulator can be used to generate an AM-DSB-SC signal. Specifically, it explains that a balanced FET modulator uses two matched FETs in a differential amplifier configuration. The carrier signal is applied in phase to the gates, while the message signal is applied out of phase. This results in an output signal that is amplitude modulated by the message signal. The document concludes by noting that while a balanced FET modulator can heavily suppress the carrier, it cannot achieve 100% carrier suppression due to imperfect matching of the F
The Fourier transform relates a signal in the time domain, x(t), to its frequency domain representation, X(jw). It represents the frequency content of the signal. The Fourier transform is a linear operation, and time shifts in the time domain result in phase shifts in the frequency domain. Differentiation in the time domain corresponds to multiplication by jw in the frequency domain. Convolution becomes simple multiplication in the frequency domain. These properties allow differential equations and systems with convolution to be solved using algebraic operations by working in the frequency domain.
Signal and System, CT Signal DT Signal, Signal Processing(amplitude and time ...Waqas Afzal
Signal and System(definitions)
Continuous-Time Signal
Discrete-Time Signal
Signal Processing
Basic Elements of Signal Processing
Classification of Signals
Basic Signal Operations(amplitude and time scaling)
EC8352- Signals and Systems - Unit 2 - Fourier transformNimithaSoman
This document discusses Fourier transforms and their applications. It begins by introducing Fourier transforms and noting that they are used widely in optics, image processing, speech processing, and medical signal processing. It then covers key topics such as:
- When periodic and aperiodic signals can be represented by Fourier series versus Fourier transforms
- Properties of continuous-time and discrete-time Fourier transforms
- Applications of Fourier transforms in filtering ECG signals, modeling diffractive gratings in optics, speech processing, and image processing
- Limitations of Fourier transforms in representing non-stable systems
The document provides an overview of Fourier transforms and their significance in decomposing signals into constituent frequencies, as well as examples of where they are applied in
This document provides an overview of signals and systems. It defines key terms like signal, system, continuous and discrete time signals, analog and digital signals, periodic and aperiodic signals. It also discusses different types of signals like deterministic and probabilistic signals, energy and power signals. The document then classifies systems as linear/nonlinear, time-invariant/variant, causal/non-causal, and with/without memory. It provides examples of different signals and properties of signals like magnitude scaling, time shifting, reflection and scaling. Overall, the document introduces fundamental concepts in signals and systems.
This document discusses various operations that can be performed on continuous time signals, including shifting, scaling, reflection, and even/odd symmetry. It uses an example signal x(t) to demonstrate how each operation mathematically and graphically transforms the signal. Shifting moves the signal in time, scaling stretches or compresses it, reflection flips it across an axis, and even/odd symmetry relates the signal value at t to its value at -t. The document concludes that understanding these operations helps convey information contained within signals.
Transformasi Fourier didefinisikan melalui dua persamaan integral yang mengubah sinyal dalam domain waktu menjadi spektrum frekuensinya. Transformasi Fourier memiliki beberapa sifat penting seperti linieritas, simetri, pergeseran waktu, dan konvolusi. Transformasi Fourier digunakan untuk menganalisis sifat-sifat sinyal seperti energi dan daya.
This document discusses steady-state error in control systems. It defines steady-state error and describes how it arises from system configuration and input type. Examples are provided to illustrate calculating steady-state error for various system types and inputs, including step, ramp, and disturbances. Sensitivity analysis is also introduced to analyze how changes in system parameters affect steady-state error.
The document provides an overview of Fourier transforms. It begins by introducing Fourier series which deals with continuous-time periodic signals and results in discrete frequency spectra. It then discusses how the Fourier integral and continuous Fourier transform can deal with aperiodic signals by providing continuous spectra. The continuous Fourier transform represents a function as an integral of its frequencies, while the inverse transform uses this representation to recover the original function. The properties of the Fourier transform discussed include linearity, time scaling, time reversal, time shifting, and frequency shifting. Real functions have special properties where the Fourier transform is always real or pure imaginary. Examples are provided to illustrate how to calculate the Fourier transform of simple functions.
This document summarizes a seminar report on discrete time systems and the Z-transform. It defines discrete time systems and different types of systems including causal/noncausal, linear/nonlinear, time-invariant/variant, static/dynamic. It then explains the Z-transform, its properties including region of convergence and time shifting. Some common Z-transform pairs are provided along with methods for the inverse Z-transform. Advantages of the Z-transform for analysis of discrete systems and signals are mentioned.
This document discusses amplitude modulation (AM) and covers topics like:
1. Generation of AM signals using double sideband full carrier (DSBFC) modulation.
2. Calculating sideband frequencies and bandwidth for different modulation scenarios.
3. Examining the voltage spectrum and time-domain representation of AM signals.
4. Looking at different AM transmitter and receiver circuit designs including single sideband techniques.
Industrial automation uses control devices like PLCs and DCS to automatically control industrial operations without significant human intervention. It aims to reduce costs, improve quality and productivity, and increase flexibility and safety. An industrial automation system has three layers - a sensor level that collects process data, a control level that uses devices like PLCs to control processes, and a supervisory level that stores data and provides human-machine interfaces. Closed-loop control systems use feedback to accurately control outputs by comparing actual outputs to desired outputs and adjusting inputs accordingly.
1. The document discusses different types of controllers used in industrial processes including proportional (P), integral (I), derivative (D), PI, PID, and their basic concepts and circuit diagrams.
2. Analog controllers use operational amplifiers as building blocks and provide advantages like compact size, fast response, high reliability and accuracy.
3. PID controllers combine proportional, integral and derivative actions to provide fast response, zero steady-state error and ensure stable system operation, though their optimization can be complex. PID controllers are commonly used for temperature and pressure control.
Fourier analysis of signals and systemsBabul Islam
This document discusses Fourier analysis of signals and linear time-invariant (LTI) systems. It defines LTI systems and explains that they are mathematically easy to analyze due to properties like superposition. Fourier analysis is used to represent signals in the frequency domain using techniques like the Fourier series for periodic signals and the Fourier transform for aperiodic signals. The frequency response of an LTI system is its output when the input is an impulse, and the output of any LTI system is the convolution of the input signal and impulse response.
Desain Sistem Kendali dengan Respon FrekuensiRumah Belajar
1. Bab ini membahas desain sistem kendali melalui pendekatan tanggapan frekuensi dengan menggunakan kompensator lead, lag, dan lag-lead untuk mengkompensasi karakteristik plant yang tidak diinginkan.
2. Kompensator digunakan untuk mengubah kurva respons frekuensi agar diperoleh sudut phase lead atau lag yang cukup untuk memenuhi spesifikasi transient yang diinginkan seperti phase margin dan gain margin.
3. Prosedur desain melip
1. The document discusses time response analysis of systems using poles and zeros. It describes different types of system responses including first-order, second-order, and higher-order systems.
2. Key aspects covered include the relationship between poles/zeros and forced/natural responses, effects of varying damping ratios, and specifications for step responses including rise time and settling time.
3. Various figures and examples illustrate pole-zero placement and resulting step responses for different system orders and damping scenarios.
1) Frequency modulation (FM) varies the instantaneous frequency of the carrier signal in proportion to an input modulating signal. This produces sidebands around the carrier frequency.
2) FM is considered superior to amplitude modulation (AM) due to better fidelity, noise immunity, and transmission efficiency. However, FM requires more bandwidth than AM.
3) The modulation index determines the number of significant sidebands and bandwidth occupied. It is defined as the peak frequency deviation divided by the modulating signal frequency.
This document provides a table of commonly used Laplace transform pairs. There are 38 entries in total, each providing the Laplace transform of a specific function. For example, entry 1 gives the Laplace transform of a constant function f(t) as F(s)=1/s. The table also includes brief explanatory notes about properties of Laplace transforms and related functions like the Gamma function.
(1) The document discusses the characteristics and effects of feedback control systems. It describes how feedback can reduce sensitivity to parameter variations, improve stability, and reduce the impact of disturbances.
(2) Feedback works by sampling the output signal and comparing it to the desired output to generate an error signal. This error signal is used to adjust the system via negative feedback.
(3) While feedback provides advantages like improved robustness, it also introduces complexity and reduces the overall system gain. There is therefore a cost associated with incorporating feedback into a control system.
Characteristics of LTI Two port networks, Z-parameter and its Equivalent circuit, Y parameter and its equivalent circuit, Transmission parameter, Inverse Transmission , h-parameter and its equivalent circuit, g-parameter and its equivalent circuit, Condition of reciprocity, Condition of Symmetry.
Generation of AM-DSB-SC using Balanced FET Modulator.pptxArunChokkalingam
This document discusses amplitude modulation using a balanced FET modulator. It begins by providing the mathematical representation of an AM-DSB-SC waveform. It then describes how a balanced FET modulator can be used to generate an AM-DSB-SC signal. Specifically, it explains that a balanced FET modulator uses two matched FETs in a differential amplifier configuration. The carrier signal is applied in phase to the gates, while the message signal is applied out of phase. This results in an output signal that is amplitude modulated by the message signal. The document concludes by noting that while a balanced FET modulator can heavily suppress the carrier, it cannot achieve 100% carrier suppression due to imperfect matching of the F
The Fourier transform relates a signal in the time domain, x(t), to its frequency domain representation, X(jw). It represents the frequency content of the signal. The Fourier transform is a linear operation, and time shifts in the time domain result in phase shifts in the frequency domain. Differentiation in the time domain corresponds to multiplication by jw in the frequency domain. Convolution becomes simple multiplication in the frequency domain. These properties allow differential equations and systems with convolution to be solved using algebraic operations by working in the frequency domain.
Signal and System, CT Signal DT Signal, Signal Processing(amplitude and time ...Waqas Afzal
Signal and System(definitions)
Continuous-Time Signal
Discrete-Time Signal
Signal Processing
Basic Elements of Signal Processing
Classification of Signals
Basic Signal Operations(amplitude and time scaling)
EC8352- Signals and Systems - Unit 2 - Fourier transformNimithaSoman
This document discusses Fourier transforms and their applications. It begins by introducing Fourier transforms and noting that they are used widely in optics, image processing, speech processing, and medical signal processing. It then covers key topics such as:
- When periodic and aperiodic signals can be represented by Fourier series versus Fourier transforms
- Properties of continuous-time and discrete-time Fourier transforms
- Applications of Fourier transforms in filtering ECG signals, modeling diffractive gratings in optics, speech processing, and image processing
- Limitations of Fourier transforms in representing non-stable systems
The document provides an overview of Fourier transforms and their significance in decomposing signals into constituent frequencies, as well as examples of where they are applied in
This document provides an overview of signals and systems. It defines key terms like signal, system, continuous and discrete time signals, analog and digital signals, periodic and aperiodic signals. It also discusses different types of signals like deterministic and probabilistic signals, energy and power signals. The document then classifies systems as linear/nonlinear, time-invariant/variant, causal/non-causal, and with/without memory. It provides examples of different signals and properties of signals like magnitude scaling, time shifting, reflection and scaling. Overall, the document introduces fundamental concepts in signals and systems.
This document discusses various operations that can be performed on continuous time signals, including shifting, scaling, reflection, and even/odd symmetry. It uses an example signal x(t) to demonstrate how each operation mathematically and graphically transforms the signal. Shifting moves the signal in time, scaling stretches or compresses it, reflection flips it across an axis, and even/odd symmetry relates the signal value at t to its value at -t. The document concludes that understanding these operations helps convey information contained within signals.
Transformasi Fourier didefinisikan melalui dua persamaan integral yang mengubah sinyal dalam domain waktu menjadi spektrum frekuensinya. Transformasi Fourier memiliki beberapa sifat penting seperti linieritas, simetri, pergeseran waktu, dan konvolusi. Transformasi Fourier digunakan untuk menganalisis sifat-sifat sinyal seperti energi dan daya.
This document discusses steady-state error in control systems. It defines steady-state error and describes how it arises from system configuration and input type. Examples are provided to illustrate calculating steady-state error for various system types and inputs, including step, ramp, and disturbances. Sensitivity analysis is also introduced to analyze how changes in system parameters affect steady-state error.
The document provides an overview of Fourier transforms. It begins by introducing Fourier series which deals with continuous-time periodic signals and results in discrete frequency spectra. It then discusses how the Fourier integral and continuous Fourier transform can deal with aperiodic signals by providing continuous spectra. The continuous Fourier transform represents a function as an integral of its frequencies, while the inverse transform uses this representation to recover the original function. The properties of the Fourier transform discussed include linearity, time scaling, time reversal, time shifting, and frequency shifting. Real functions have special properties where the Fourier transform is always real or pure imaginary. Examples are provided to illustrate how to calculate the Fourier transform of simple functions.
This document summarizes a seminar report on discrete time systems and the Z-transform. It defines discrete time systems and different types of systems including causal/noncausal, linear/nonlinear, time-invariant/variant, static/dynamic. It then explains the Z-transform, its properties including region of convergence and time shifting. Some common Z-transform pairs are provided along with methods for the inverse Z-transform. Advantages of the Z-transform for analysis of discrete systems and signals are mentioned.
This document discusses amplitude modulation (AM) and covers topics like:
1. Generation of AM signals using double sideband full carrier (DSBFC) modulation.
2. Calculating sideband frequencies and bandwidth for different modulation scenarios.
3. Examining the voltage spectrum and time-domain representation of AM signals.
4. Looking at different AM transmitter and receiver circuit designs including single sideband techniques.
Industrial automation uses control devices like PLCs and DCS to automatically control industrial operations without significant human intervention. It aims to reduce costs, improve quality and productivity, and increase flexibility and safety. An industrial automation system has three layers - a sensor level that collects process data, a control level that uses devices like PLCs to control processes, and a supervisory level that stores data and provides human-machine interfaces. Closed-loop control systems use feedback to accurately control outputs by comparing actual outputs to desired outputs and adjusting inputs accordingly.
1. The document discusses different types of controllers used in industrial processes including proportional (P), integral (I), derivative (D), PI, PID, and their basic concepts and circuit diagrams.
2. Analog controllers use operational amplifiers as building blocks and provide advantages like compact size, fast response, high reliability and accuracy.
3. PID controllers combine proportional, integral and derivative actions to provide fast response, zero steady-state error and ensure stable system operation, though their optimization can be complex. PID controllers are commonly used for temperature and pressure control.
Potentiometric recorders and strip chart recorders are used to record signals by relating the movement of a pen or stylus to the input signal. Potentiometric recorders use a motor-driven potentiometer and pen to balance the input signal. Strip chart recorders have a paper drive system to move chart paper at a uniform speed and a marking system like a heated stylus to mark the chart. X-Y recorders plot signals on graph paper using motors that move a pen based on error signals from two input channels. Data acquisition systems measure physical variables with transducers, condition signals, convert to digital, and present data on computers. Telemetry uses sensors, transmitters and receivers to measure and wirelessly transmit
This document discusses control systems. It defines a control system as a means to maintain or alter a quantity of interest in accordance with a desired manner. Control systems can be classified in various ways, including as open-loop or closed-loop depending on whether feedback is present, and as continuous or discrete depending on the type of signals used. Open-loop systems are simple but inaccurate, while closed-loop systems are complex but accurate due to feedback correcting any errors. Feedback affects the stability and overall gain of a system. Common examples of control systems discussed include temperature control, motor position control, and liquid level control in a tank.
This document provides an overview of control systems. It begins with definitions of key terms like controlled variable, controller, plant, disturbance, feedback control, and servo mechanism. It then classifies systems as linear/non-linear, time-variant/invariant, continuous/discrete, dynamic/static, and open-loop/closed-loop. Mathematical modeling approaches like transfer functions and modeling of physical systems like translational, rotational, and electrical analogues are discussed. The document provides a comprehensive introduction to fundamental control system concepts, analysis techniques, and applications.
This document provides an introduction to control engineering. It discusses several key points:
1) Control engineering deals with designing systems to control dynamic processes and improve response speed, accuracy, and stability. This includes analyzing both classical and modern control methods.
2) Modern control engineering uses state-space and eigenvector approaches to model multi-input multi-output systems as sets of first-order differential equations.
3) Automatic control systems are commonly used, where a controlled variable is measured and compared to a setpoint to generate an output that achieves the desired result. This reduces costs and improves quality and productivity over manual control.
In this session you will learn:
Basics of control systems
Open and Closed loop control systems
Elements of automatic control
Two position control system
Modes of automatic control
In this session you will learn:
Basics of control systems
Open and Closed loop control systems
Elements of automatic control
Two position control system
Modes of automatic control
For more information, visit: https://www.mindsmapped.com/courses/industrial-automation/complete-training-on-industrial-automation-for-beginners/
1. The document discusses the components and types of control systems. It provides examples of temperature control, robot arm control, and autonomous vehicle control to illustrate control loops.
2. The main components of a control loop are sensors, controllers, actuators, and the plant being controlled. Sensors measure controlled variables and provide feedback, while actuators implement changes to manipulate variables based on controller signals.
3. Control systems can be linear or nonlinear, time-invariant or time-varying, open-loop or closed-loop. Open-loop systems do not use feedback, while closed-loop systems incorporate feedback to increase accuracy. Analog systems use traditional analog devices, while digital systems use computers and converters.
LECTURE 1. Control Systems Engineering_MEB 4101.pdfMUST
This document provides an overview of the course "Control Systems Engineering". It discusses key topics that will be covered, including control systems terminology and definitions, modeling and performance, dynamic response, stability criteria and analysis, feedback control system analysis and design, practical aspects of control systems, and measuring systems. The course content is divided into 7 modules that will cover these essential control systems engineering concepts and applications. Students will be continuously assessed and have an end of semester exam.
This document provides an overview of control systems engineering. It defines a control system as a group of connected elements that perform a specific function. A control system regulates the output of a system by adjusting the input. Control systems can be classified based on their analysis/design methods, signal types, system components, and purpose. Linear systems follow superposition principles while nonlinear systems do not. Time-invariant systems have parameters unaffected by time. Continuous and discrete systems have continuous or discrete signals. Single-input single-output and multiple-input multiple-output systems have one or multiple inputs/outputs. Feedback control systems have their output fed back to modify the input to monitor performance. Open-loop systems do not use feedback to control the output,
This presentation contains,
i. Basics of Control Systems,
ii. Wind Turbine Controls
iii. Basics about Wind Farm and Control
iv. Wind Turbine Gearbox
v. Wind Turbine Generator
vi. Grids
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 presents information on on-off controllers. It discusses that on-off controllers have only two output states - fully on or fully off. When the process variable exceeds the setpoint, the controller output switches fully on, and when it falls below the setpoint, the output switches fully off. This causes oscillations in the process variable. The document describes examples of on-off control schemes for fans, water heaters and water level. It also lists advantages like low cost and quick response, and disadvantages like inability to control systems with delays and lack of accuracy.
LOAD FREQUENCY AND VOLTAGE GENERATION CONTROLPreet_patel
LOAD FREQUENCY AND VOLTAGE GENERATION CONTROL
Load frequency control
Automatic Generation Control
Voltage Control
Primary regulation.
Secondary regulation
real power
Why voltage control is important?
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
This document discusses various process control concepts including controller modes and actions. It describes:
- Proportional, integral, and derivative control modes and how they work individually. The proportional mode reduces error but causes offset. Integral mode eliminates offset but can cause overshoot. Derivative mode responds to the rate of error change.
- Composite control modes like PI, PD, and PID that combine the individual modes. PI eliminates offset and handles load changes. PD handles fast changes but does not remove offset. PID is most powerful but complex.
- Issues like integral windup where the integral term grows unchecked and causes control loss must be addressed using techniques like back-calculation or clamping.
The document describes the basic principles and components of a final control element. It discusses how a process controller's output signal is converted by various components into proportional action on the process. It identifies the typical elements as the control signal, signal conversions, actuator, and final control element. Signal conversions modify the control signal to interface with the actuator. The actuator then translates the converted signal into physical movement of the final control element, which directly influences the process variable. Common types of actuators include pneumatic, hydraulic, electro-pneumatic, and electric motor actuators.
This document discusses closed loop control of DC motors. It describes how closed loop control uses feedback to regulate motor speed by varying the voltage applied to the motor. It explains four quadrant chopper control and how duty cycle controls motor speed. Closed loop speed control and closed loop field control methods are presented. The feedback loop is described as taking the output into consideration to adjust performance to meet the desired result. The key differences between open loop and closed loop systems are outlined. Applications and advantages/disadvantages of closed loop control are also summarized.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
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How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
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Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Assessment and Planning in Educational technology.pptxKavitha Krishnan
In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
2. Control systems
• A control system consists of subsystems and
processes (or plants) assembled for the
purpose of obtaining a desired output with desired
performance, given a specified
input.
• Figure 1.1 shows a control system in its simplest
form, where the
input represents a desired output.
3. Example of an elevator
• When the fourth-floor button is pressed on the first floor, the elevator rises to the
fourth floor with a speed and floor-leveling accuracy designed for passenger
comfort.
•The push of the fourth-floor button is an input that represents our desired
output, shown as a step function in Figure 1.2.
•The performance of the elevator can be seen from the elevator response curve in
the figure.
4. Measures of performance
• Two major measures of performance are apparent:
(1) the transient response, and
(2) the steady-state error
• In the elevator example, passenger comfort and passenger
patience are dependent upon the transient response.
• If this response is too fast, passenger comfort is sacrificed.
• If too slow, passenger patience is sacrificed.
• The steady-state error is another important performance specification
since passenger safety and convenience would be sacrificed if the
elevator did not properly level.
5. Advantages of Control Systems
• With control systems we can move large equipment with precision
that would otherwise be impossible.
• We can point huge antennas toward the farthest reaches of the
universe to pick up faint radio signals; controlling these antennas
by hand would be impossible.
• Because of control systems, elevators carry us quickly to our
destination, automatically stopping at the right floor.
• We alone could not provide the power required for the load and
the speed; motors provide the power, and control systems
regulate the position and speed.
6. Advantages (cont…)
• We build control systems for four primary reasons:
1. Power amplification
2. Remote control
3. Convenience of input form
4. Compensation for disturbances
• For example, a radar antenna, positioned by the low-
power rotation of a knob at the input, requires a large
amount of power for its output rotation. A control
system can produce the needed power amplification,
or power gain
7. Advantages (cont…)
• Robots designed by control system principles can
compensate for human disabilities.
• Control systems are also useful in remote or
dangerous locations. For example, a remote-controlled
robot arm can be used to pick up material in a radioactive
environment.
• Control systems can also be used to provide convenience by
changing the form of the input. For example, in a
temperature control system, the input is a position on a
thermostat. The output is heat. Thus, a convenient position
input yields a desired thermal output.
8. Advantages (cont…)
• The system must be able to yield the correct output even
with a disturbance.
• For example, consider an antenna system that points in a
commanded direction. If wind forces the antenna from its
commanded position, or if noise enters internally, the system
must be able to detect the disturbance and correct the
antenna‘s position.
• Obviously, the system's input will not change to make the
correction.
• Consequently, the system itself must measure the amount
that the disturbance has repositioned the antenna and then
return the antenna to the position commanded by the input
9. System Configurations
• Two major configurations of control systems:
i) open loop systems
and
ii) closed loop systems
10. Open loop systems
• The toaster in Fig.a can be set for the desired darkness of the
toasted bread.
• The setting of the ‘‘darkness’’ knob, or timer, represents the input
quantity, and the degree of darkness and crispness of the toast
produced is the output quantity.
• If the degree of darkness is not satisfactory, because of the
condition of the bread or some similar reason, this condition can in
no way automatically alter the length of time that heat is applied.
• Since the output quantity has no influence on the input quantity,
there is no feedback in this system.
• The heater portion of the toaster represents the dynamic part of
the overall system, and the timer unit is the reference selector.
12. Open loop systems (cont…)
• The dc shunt motor of Fig.b is another example of an open loop
system.
• For a given value of field current, a required value of voltage is
applied to the armature to produce the desired value of motor
speed.
• In this case the motor is the dynamic part of the system, the
applied armature voltage is the input quantity, and the speed of the
shaft is the output quantity.
• A variation of the speed from the desired value, due to a change of
mechanical load on the shaft, can in no way cause a change in the
value of the applied armature voltage to maintain the desired
speed.
• Therefore, the output quantity has no influence on the input
quantity.
13. Open loop systems (cont…)
• Systems in which the output quantity has no effect upon the input quantity are
called open-loop control systems.
• The examples just cited (in Figs.a & b) are represented symbolically by a functional
block diagram, as shown in Fig. c.
• In this figure,
(a) the desired darkness of the toast or the desired speed of the motor is the
command input,
(b) the selection of the value of time on the toaster timer or the value of voltage
applied to the motor armature is represented by the reference-selector block, and
(c) the output of this block is identified as the reference input.
The reference input is applied to the dynamic unit that performs the desired
control function, and the output of this block is the desired output
14. Advantages and disadvantages of open-
loop control systems
Advantages:
1. Simple in construction and easy to maintain
2. Less expensive because of the use of minimum number of control devices
3. The problem of instability does not exist
4. Performs accurately once the calibration of the input is done
5. Open-loop system is convenient when it is very convenient to measure
the output or the measurement is economically not feasible
Disadvantages:
1. Disturbances (internal or external) cause drifts in the desired output
2. Changes in calibration cause errors in the system
3. Re-calibration of the system may be necessary from time to time in order
to maintain the required quality of output.
15. Closed loop control systems
• A person could be assigned the task of sensing the actual value of
the output and comparing it with the command input.
• If the output does not have the desired value, the person can alter
the reference-selector position to achieve this value.
• Introducing the person provides a means through which the output
is fed back and is compared with the input.
• Any necessary change is then made in order to cause the output to
equal the desired value.
• The feedback action therefore controls the input to the dynamic
unit.
• Systems in which the output has a direct effect upon the input
quantity are called closed loop control systems
16. Closed loop control systems(cont…)
• To improve the performance of the closed-loop system so that the
output quantity is as close as possible to the desired quantity, the person
can be replaced by a mechanical, electrical, or other form of a
comparison unit.
• The functional block diagram of a single-input, single-output(SISO)
closed-loop control system is illustrated in Fig. d.
• Comparison between the reference input and the feedback signals
results in an actuating signal that is the difference between these two
quantities.
• The actuating signal acts to maintain the output at the desired value.
• This system is called a closed-loop control system.
• The designation closed-loop implies the action resulting from the
comparison between the output and input quantities in order to
maintain the output at the desired value.
• Thus, the output is controlled in order to achieve the desired value.
18. Example of closed-loop control system -A home
heating system
• In a home heating system the desired room temperature (command input) is set
on the thermostat (reference selector).
• A bimetallic coil in the thermostat is affected by both the actual room temperature
(output) and the reference-selector setting.
• If the room temperature is lower than the desired temperature, the coil strip
alters its shape and causes a mercury switch to operate a relay, which turns on the
furnace to produce heat in the room.
• When the room temperature reaches the desired temperature, the shape of the
coil strip is again altered so that the mercury switch opens.
• This deactivates the relay and in turn shuts off the furnace.
• In this example, the bimetallic coil performs the function of a comparator since
the output (room temperature) is fed back directly to the comparator.
• The switch, relay, and furnace are the dynamic elements of this closed-loop
control system
19. Example of closed-loop control system
–Automatic elevator
• A closed-loop control system of great importance to all
multistory buildings is the automatic elevator.
• A person in the elevator presses the button
corresponding to the desired floor.
• This produces an actuating signal that indicates the
desired floor and turns on the motor that raises or
lowers the elevator.
• As the elevator approaches the desired floor, the
actuating signal decreases in value and, with the
proper switching sequences, the elevator stops at the
desired floor and the actuating signal is reset to zero.
21. Automatic aircraft landing
system(cont…)
• The system consists of three basic parts:
the aircraft, the radar and the controlling unit.
• The radar unit measures the approximate vertical
and lateral positions of the aircraft, which are
then transmitted to the controlling unit.
• From these measurements, the controlling unit
calculates appropriate commands.
• These commands are then transmitted to the
aircraft autopilots which in turn cause the aircraft
to respond.
22. Advantages and disadvantages of
closed-loop systems
Advantages:
1.Relatively less accurate and inexpensive components may be used to obtain
an accurate control of a given process
2. The influence of internal and external disturbances on the output can be
made almost ineffective
3. Debilitating effects of plant parameter variations can be effectively
counteracted
4.Transient responses of the system can be improved
5. Steady state error can be reduced
Disadvantages:
1. It requires more number of equipment and components and is thus it is
costlier
2. There is a tendency to overcorrect errors, which may create oscillations
in the system output. This may cause instability of the system
23. Definitions
(As per the standards of the IEEE)
• System: A combination of components that act together to perform a function not possible
with any of the individual parts. The word system as used herein is interpreted to include
physical, biological, organizational, and other entities, and combinations thereof, which can
be represented through a common mathematical symbolism.
• A system excited by only initial conditions is said to be autonomous and a system having
external input together with or without initial condition is said to be
non autonomous.
• Command input: The motivating input signal to the system, which is independent of the
output of the system and exercises complete control over it (if the system is completely
controllable).
• Reference selector (reference input element): The unit that establishes the value of the
reference input. The reference selector is calibrated in terms of the desired value of the
system output.
• Reference input: The reference signal produced by the reference selector, i.e., the
command expressed in a form directly usable by the system. It is the actual signal input to
the control system.
• Disturbance input: An external disturbance input signal to the system that has an
unwanted effect on the system output.
24. Definitions (cont...)
• Forward element (system dynamics): The unit that reacts to an actuating signal to produce
a desired output. This unit does the work of controlling the output and thus may be a
power amplifier.
• Output (controlled variable): The quantity that must be maintained at a prescribed value,
i.e., following the command input without responding the disturbance inputs.
• Open-loop control system: A system in which the output has no effect upon the input
signal.
• Feedback element: The unit that provides the means for feeding back the output quantity,
or a function of the output, in order to compare it with the reference input.
• Actuating signal: The signal that is the difference between the reference input and the
feedback signal. It is the input to the control unit that causes the output to have the
desired value.
• Closed-loop control system: A system in which the output has an effect upon the input
quantity in such a manner as to maintain the desired output value.
• Servomechanism (often abbreviated as servo): The term is often used to refer to a
mechanical system in which the steady-state error is zero for a constant input signal.
Sometimes, by generalization, it is used to refer to any feedback control system.
• Regulator : This term is used to refer to systems in which there is a constant steady-state
output for a constant signal. The name is derived from the early speed and voltage
controls, called speed and voltage regulators.
25. Definitions (cont...)
• Time-invariant control system:
A system is said to be time-invariant if its behaviour or characteristics do not change with
time.
The parameters of the system do not vary with time. The response of a time-invariant
system is independent of the time at which it is applied. It responds identically regardless
of the time of application of the input.
Ex: Elements of an electrical network such as R,L and C.
• Time-variant system:
If the parameters of a control system vary with time, the system is said to be a time-
varying system.
Ex: A space vehicle leaving earth
• Continuous –time and discrete -time control systems:
If all the variables of a control system are continuous functions of time, the system is said
to be continuous –time control system. If one or more system variables of a control system
are known at a certain discrete instants of time, the system is discrete-time system.
Ex: The speed control of a DC motor with tacho-generator feedback is an example of
continuous control system, while a microprocessor or computer based system is an
example of a discrete time system.
26. Regulator Fan motor
Problem 1.1 Explainbecontrolactionofaceiling-fanregulator anddraw thecoep0n fitbladediagfar0.
A fan regulator is a combination of a
series switch and a speed regulator. For a given
speedsettingonthefanregulator,thefanruns
specific setting on the regulator is the
inputandthevariable voltageapplied
motoristhecontrol signal. Thespeed
reference
to the fan
of the fan
at a specific speed. To obtain a differentspeed,
thesettingontheregulatoristobechanged.This
changes thevoltageapplied tothemotor.The
Voltage
isthecontrolled output.Theoutputspeedisnot
measuredandsothecontrolschemeisopen-loop.
Theblockdiagram isshown inFig.
Actual speed
Reference
input Controller Actuator
Fig. P1.1 Fan regulator
Process
Controlled output
Fan leaves