Digital Control
(Sprache: Englisch)
Digital control systems are becoming increasingly prevalent and important within industry. In recent years significant progress has been made in their analysis and design particularly within the areas of microprocessors and digital signal processors.
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Digital control systems are becoming increasingly prevalent and important within industry. In recent years significant progress has been made in their analysis and design particularly within the areas of microprocessors and digital signal processors.
Klappentext zu „Digital Control “
Digital control systems are becoming increasingly prevalent and important within industry. In recent years significant progress has been made in their analysis and design - particularly within the areas of microprocessors and digital signal processors. The traditional approach to teaching digital control assumes an understanding of analog control theory; Digital Control, however, teaches the fundamentals of the topics, assuming no prior knowledge of control engineering. Organised into five sections, it discusses modelling, signal processing and identification of plants from measurements, as well as the transfer function approach to, and state space techniques for, control design.* Teaches the fundamentals of digital control, enabling the student to exploit the complete potential of digital systems.
* Presents a number of control techniques including proportional-integral-derivative (PID), pole placement, internal model, minimum variance, model predictive and linear quadratic Gaussian control and their extensions.
* Provides an extensive introduction to digital signal processing, an essential component to the understanding and implementation of digital controllers; and to the identification of plant models, an important topic in this information era.
* Includes examples, problems and solutions as well as accompanying MatLAB code.
Digital Control offers an advanced and self-contained textbook to senior undergraduates and postgraduates in chemical, electrical and mechanical engineering and computer science. It will also appeal to practicing systems engineers who need to learn digital control.
This book is about the design of digital controllers. An attempt has been made to present digital control from scratch. The book is organized into five parts. The first deals with modelling, the second concerned with the topic of signal processing, the third devoted to identification of plants from measurements, fourth section looks at the transfer function approach to control design and the last section is devoted to state space techniques for control design. The topics of observers, Kalman filter and combined controller and observer have also been included.
- Presents digital control from scratch
- Includes numerous examples, problems, solutions and Matlab code.
- Developed from three existing lecture courses in digital control, systems identification and intermediate process control.
- Concludes each chapter with a 'problems' section.
- Highlights the advantages of the polynomial approach.
- Assumes little or no prior knowledge of analogue control.
- Offers a very thorough treatment of the z-transform and frequency-domain analysis.
- Includes a thorough treatment of identification.
- Attempts the tuning of PID controllers using model-based control techniques.
This textbook is written for advanced undergraduate and postgraduate students in control engineering and electronic engineering. It will also be of interest to practicing control systems engineers and researchers in this field.
- Presents digital control from scratch
- Includes numerous examples, problems, solutions and Matlab code.
- Developed from three existing lecture courses in digital control, systems identification and intermediate process control.
- Concludes each chapter with a 'problems' section.
- Highlights the advantages of the polynomial approach.
- Assumes little or no prior knowledge of analogue control.
- Offers a very thorough treatment of the z-transform and frequency-domain analysis.
- Includes a thorough treatment of identification.
- Attempts the tuning of PID controllers using model-based control techniques.
This textbook is written for advanced undergraduate and postgraduate students in control engineering and electronic engineering. It will also be of interest to practicing control systems engineers and researchers in this field.
Inhaltsverzeichnis zu „Digital Control “
Contents1 Introduction
2 Modelling of Sampled Data Systems
2.1 Sampled Data System
2.2 Models of Continuous Time Systems
2.3 Discretization of Continuous Time Systems
2.4 Naturally Occurring Discrete Time Systems
2.5 Establishing Connections
2.6 Matlab Code
2.7 Problems .
I Digital Signal Processing
3 LinearSystem
3.1 Basic Concepts
3.2 Basic Discrete Time Signals
3.3 Input-Output Convolution Models
viii 0. Contents
3.4 State SpaceModels, Revisited
3.5 Matlab Code
3.6 Problems
4 Z-Transform 63 4.1 Motivation and Definition of Z-transform
4.2 Z-TransformTheorems and Examples
4.3 Transfer Function
4.4 Inverse of Z-transform
4.5 Matlab Code
4.6 Problems .
5 Frequency Domain Analysis
5.1 Basics
5.2 Fourier Series and Fourier Transforms
Contents ix 5.3 Sampling and Reconstruction
5.4 Filtering
5.5 Discrete Fourier Transform
5.6 Matlab Code
5.7 Problems .
II Identification 161
6 Identification 163
6.1 Introduction
6.2 Least Squares Estimation
6.3 Covariance
6.4 ARMA Processes
6.5 Prediction ErrorModels
Input, Model
6.6 Revisiting Least Squares Estimation
6.7 Frequency Domain Interpretation
x 0. Contents 6.8 Matlab Code
6.9 Problems .
III Transfer Function Approach to Controller Design
7 Structures and Specifications
7.1 Control Structures
7.2 Proportional Control
7.3 Other Popular Controllers
7.4 Internal Stability and Realizability
7.5 InternalModel Principle and System Type
7.6 Introduction to Limits of Performance
7.7 Well behaved signals .
7.8 Solving Aryabhatta's Identity
7.9 Matlab Code
7.10 Problems
8 Proportional, Integral, Derivative Controllers
8.1 Sampling Revisited
8.2 Discretization Techniques
8.3 Discretization of PID Controllers
Contents xi
8.4 Matlab Code
8.5 Problems
9 Pole Placement Controllers
9.1 Dead-Beat and Dahlin Control
9.2 Pole Placement Controller with Performance Specifications
9.3 Implementation of Unstable Controllers
9.4
... mehr
Internal Model Principle for Robustness
9.5 Redefining Good and Bad Polynomials
9.6 Comparing 1-DOF and 2-DOF controllers
9.7 Anti Windup Compensator
9.8 PID Tuning through Pole Placement
9.9 Matlab Code
9.10 Problems
10 Special Cases of Pole Placement Control
10.1 Smith Predictor
10.2 InternalModel Control
10.3 Matlab Code
10.4 Problems
11 Minimum Variance Control 405 11.1 j-Step Ahead Prediction ErrorModel
11.2 Minimum Variance Controller
11.3 Generalized Minimum Variance Controller
11.4 Matlab Code
11.5 Problems
xii 0. Contents
12 Model Predictive Control 439 12.1 Generalized Predictive Control
12.2 ?-GPC
12.3 DynamicMatrix Control
12.4 Matlab Code
12.5 Problems
13 Linear Quadratic Gaussian Control
13.1 Spectral Factorization
13.2 Controller Design
13.3 Simplified LQG Control Design
13.4 Introduction to Performance Analysis of Controllers
13.5 Matlab Code
13.6 Problems
IV State Space Approach to Controller Design
14 State Space Techniques to Controller Design
14.1 Pole placement
14.2 Estimators .
14.3 Regulator Design - Combined Control Law and Estimator
14.4 Linear Quadratic Regulator .
14.5 Kalman Filter
14.6 Matlab Code
14.7 Problems
A Supplementary Material
A.1 Mathematical Relations
A.2 Installation and Use of Software
A.3 SimulinkCode for Verification
A.4 Problems
9.5 Redefining Good and Bad Polynomials
9.6 Comparing 1-DOF and 2-DOF controllers
9.7 Anti Windup Compensator
9.8 PID Tuning through Pole Placement
9.9 Matlab Code
9.10 Problems
10 Special Cases of Pole Placement Control
10.1 Smith Predictor
10.2 InternalModel Control
10.3 Matlab Code
10.4 Problems
11 Minimum Variance Control 405 11.1 j-Step Ahead Prediction ErrorModel
11.2 Minimum Variance Controller
11.3 Generalized Minimum Variance Controller
11.4 Matlab Code
11.5 Problems
xii 0. Contents
12 Model Predictive Control 439 12.1 Generalized Predictive Control
12.2 ?-GPC
12.3 DynamicMatrix Control
12.4 Matlab Code
12.5 Problems
13 Linear Quadratic Gaussian Control
13.1 Spectral Factorization
13.2 Controller Design
13.3 Simplified LQG Control Design
13.4 Introduction to Performance Analysis of Controllers
13.5 Matlab Code
13.6 Problems
IV State Space Approach to Controller Design
14 State Space Techniques to Controller Design
14.1 Pole placement
14.2 Estimators .
14.3 Regulator Design - Combined Control Law and Estimator
14.4 Linear Quadratic Regulator .
14.5 Kalman Filter
14.6 Matlab Code
14.7 Problems
A Supplementary Material
A.1 Mathematical Relations
A.2 Installation and Use of Software
A.3 SimulinkCode for Verification
A.4 Problems
... weniger
Bibliographische Angaben
- Autor: Kannan Moudgalya
- 2007, 1. Auflage, 568 Seiten, Maße: 17 x 24,4 cm, Kartoniert (TB), Englisch
- Verlag: Wiley & Sons
- ISBN-10: 0470031441
- ISBN-13: 9780470031445
- Erscheinungsdatum: 23.05.2008
Sprache:
Englisch
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