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Digital Control Engineering
Analysis and Design
- 2nd Edition - August 21, 2012
- Authors: M. Sami Fadali, Antonio Visioli
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 3 9 4 3 9 1 - 0
- eBook ISBN:9 7 8 - 0 - 1 2 - 3 9 8 3 2 4 - 4
Digital controllers are part of nearly all modern personal, industrial, and transportation systems. Every senior or graduate student of electrical, chemical or mechanical… Read more
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Request a sales quoteDigital controllers are part of nearly all modern personal, industrial, and transportation systems. Every senior or graduate student of electrical, chemical or mechanical engineering should therefore be familiar with the basic theory of digital controllers. This new text covers the fundamental principles and applications of digital control engineering, with emphasis on engineering design.
Fadali and Visioli cover analysis and design of digitally controlled systems and describe applications of digital controls in a wide range of fields. With worked examples and Matlab applications in every chapter and many end-of-chapter assignments, this text provides both theory and practice for those coming to digital control engineering for the first time, whether as a student or practicing engineer.
- Extensive Use of computational tools: Matlab sections at end of each chapter show how to implement concepts from the chapter
- Frees the student from the drudgery of mundane calculations and allows him to consider more subtle aspects of control system analysis and design
- An engineering approach to digital controls: emphasis throughout the book is on design of control systems. Mathematics is used to help explain concepts, but throughout the text discussion is tied to design and implementation. For example coverage of analog controls in chapter 5 is not simply a review, but is used to show how analog control systems map to digital control systems
- Review of Background Material: contains review material to aid understanding of digital control analysis and design. Examples include discussion of discrete-time systems in time domain and frequency domain (reviewed from linear systems course) and root locus design in s-domain and z-domain (reviewed from feedback control course)
- Inclusion of Advanced Topics
- In addition to the basic topics required for a one semester senior/graduate class, the text includes some advanced material to make it suitable for an introductory graduate level class or for two quarters at the senior/graduate level. Examples of optional topics are state-space methods, which may receive brief coverage in a one semester course, and nonlinear discrete-time systems
- Minimal Mathematics Prerequisites
- The mathematics background required for understanding most of the book is based on what can be reasonably expected from the average electrical, chemical or mechanical engineering senior. This background includes three semesters of calculus, differential equations and basic linear algebra. Some texts on digital control require more
Undergraduate and graduate students in digital controls, Control engineers
Preface
Approach
Features
New to this edition
Organization of text
Supporting material
Acknowledgments
Chapter 1. Introduction to Digital Control
Objectives
1.1 Why digital control?
1.2 The structure of a digital control system
1.3 Examples of digital control system
Resources
Chapter 2. Discrete-Time Systems
Objectives
2.1 Analog systems with piecewise constant inputs
2.2 Difference equations
2.3 The z-transform
2.4 Computer-aided design
2.5 z-Transform solution of difference equations
2.6 The time response of a discrete-time system
2.7 The modified z-transform
2.8 Frequency response of discrete-time systems
2.9 The sampling theorem
Resources
Chapter 3. Modeling of Digital Control Systems
Objectives
3.1 ADC model
3.2 DAC model
3.3 The transfer function of the ZOH
3.4 Effect of the sampler on the transfer function of a cascade
3.5 DAC, analog subsystem, and ADC combination transfer function
3.6 Systems with transport lag
3.7 The closed-loop transfer function
3.8 Analog disturbances in a digital system
3.9 Steady-state error and error constants
3.10 MATLAB commands
Resources
Chapter 4. Stability of Digital Control Systems
Objectives
4.1 Definitions of stability
4.2 Stable z-domain pole locations
4.3 Stability conditions
4.4 Stability determination
4.5 Jury test
4.6 Nyquist criterion
Resources
Chapter 5. Analog Control System Design
Objectives
5.1 Root locus
5.2 Root locus using MATLAB
5.3 Design specifications and the effect of gain variation
5.4 Root locus design
5.5 Empirical tuning of PID controllers
Resources
Chapter 6. Digital Control System Design
Objectives
6.1 z-Domain root locus
6.2 z-Domain digital control system design
6.3 Digital implementation of analog controller design
6.4 Direct z-domain digital controller design
6.5 Frequency response design
6.6 Direct control design
6.7 Finite settling time design
Resources
Chapter 7. State–Space Representation
Objectives
7.1 State variables
7.2 State–space representation
7.3 Linearization of nonlinear state equations
7.4 The solution of linear state–space equations
7.5 The transfer function matrix
7.6 Discrete-time state–space equations
7.7 Solution of discrete-time state–space equations
7.8 z-Transfer function from state–space equations
7.9 Similarity transformation
Resources
Chapter 8. Properties of State–Space Models
Objectives
8.1 Stability of state–space realizations
8.2 Controllability and stabilizability
8.3 Observability and detectability
8.4 Poles and zeros of multivariable systems
8.5 State–space realizations
8.6 Duality
8.7 Hankel realization
Resources
Chapter 9. State Feedback Control
Objectives
9.1 State and output feedback
9.2 Pole placement
9.3 Servo problem
9.4 Invariance of system zeros
9.5 State estimation
9.6 Observer state feedback
9.7 Pole assignment using transfer functions
Resources
Chapter 10. Optimal Control
Objectives
10.1 Optimization
10.2 Optimal control
10.3 The linear quadratic regulator
10.4 Steady-state quadratic regulator
10.5 Hamiltonian system
Resources
Chapter 11. Elements of Nonlinear Digital Control Systems
Objectives
11.1 Discretization of nonlinear systems
11.2 Nonlinear difference equations
11.3 Equilibrium of nonlinear discrete-time systems
11.4 Lyapunov stability theory
11.5 Stability of analog systems with digital control
11.6 State plane analysis
11.7 Discrete-time nonlinear controller design
11.8 Input-output stability and the small gain theorem
Resources
Chapter 12. Practical Issues
Objectives
12.1 Design of the hardware and software architecture
12.2 Choice of the sampling period
12.3 Controller structure
12.4 PID control
12.5 Sampling period switching
Resources
APPENDIX I: Table of Laplace and z-Transforms*
APPENDIX II: Properties of the z-Transform
APPENDIX III: Review of Linear Algebra
A.1 Matrices
A.2 Equality of matrices
A.3 Matrix arithmetic
A.4 Determinant of a matrix
A.5 Inverse of a matrix
A.6 Trace of a matrix
A.7 Rank of a matrix
A.8 Eigenvalues and eigenvectors
A.9 Partitioned matrix
A.10 Norm of a vector
A.11 Matrix norms
A.12 Quadratic forms
A.13 Singular value decomposition and pseudoinverses
A.14 Matrix differentiation/integration
A.15 Kronecker product
Resources
Index
- No. of pages: 600
- Language: English
- Edition: 2
- Published: August 21, 2012
- Imprint: Academic Press
- Hardback ISBN: 9780123943910
- eBook ISBN: 9780123983244
MF
M. Sami Fadali
Professor and Chair of Department of Electrical & Biomedical Engineering, College of Engineering, University of Nevada, Reno, NV, USA.
M. Sami Fadali earned a BS in Electrical Engineering from Cairo University in 1974, an MS from the Control Systems Center, UMIST, England, in 1977 and a Ph. D. from the University of Wyoming in 1980. He was an Assistant Professor of Electrical Engineering at the University of King Abdul Aziz in Jeddah , Saudi Arabia 1981-1983. From 1983-85, he was a Post Doctoral Fellow at Colorado State University. In 1985, he joined the Electrical Engineering Dept. at the University of Nevada, Reno, where he is currently Professor of Electrical Engineering. In 1994 he was a visiting professor at Oakland University and GM Research and Development Labs. He spent the summer of 2000 as a Senior Engineer at TRW, San Bernardino. His research interests are in the areas of fuzzy logic stability and control, state estimation and fault detection, and applications to power systems, renewable energy, and physiological systems
Affiliations and expertise
Professor and Chair of Department of Electrical & Biomedical Engineering, College of Engineering, University of Nevada, Reno, NV, USA.AV
Antonio Visioli
Full Professor in Control Systems at the Department of Mechanical and Industrial Engineering of the University of Brescia, Brescia, Italy
He received the Laurea degree in Electronic Engineering from the University of Parma in 1995. From September 1994 to February 1995 he was an ERASMUS student at the Electrical and Electronic Department of the Loughborough University of Technology (now Loughborough University), UK. From September 1995 to November 2012 he was with the Department of Information Engineering (formerly, Department of Electronics for Automation) of the Faculty of Engineering of the University of Brescia . In 1999 he received the Ph.D. degree in Applied Mechanics from the University of Brescia.
He is a senior member of IEEE, a member of the IFAC Technical Commitee on Education, a member of the Technical Committee on Education of the IEEE Control Systems Society, a member of the subcommittees on Event-Based Control & Signal and on Industrial Automated Systems and Control of the IEEE Industrial Electronics Society Technical Committee on Factory Automation, and a member of the national board of Anipla (Italian Association for Automation).
Affiliations and expertise
Full Professor in Control Systems, Department of Mechanical and Industrial Engineering, University of Brescia, Brescia, ItalyRead Digital Control Engineering on ScienceDirect