Analysis and Design
Buch, Englisch, 592 Seiten, Format (B × H): 175 mm x 250 mm, Gewicht: 1189 g
ISBN: 978-0-470-01167-6
Verlag: Wiley
Multivariable Feedback Control: Analysis and Design, Second Edition presents a rigorous, yet easily readable, introduction to the analysis and design of robust multivariable control systems. Focusing on practical feedback control and not on system theory in general, this book provides the reader with insights into the opportunities and limitations of feedback control.
Taking into account the latest developments in the field, this fully revised and updated second edition:
* features a new chapter devoted to the use of linear matrix inequalities (LMIs);
* presents current results on fundamental performance limitations introduced by RHP-poles and RHP-zeros;
* introduces updated material on the selection of controlled variables and self-optimizing control;
* provides simple IMC tuning rules for PID control;
* covers additional material including unstable plants, the feedback amplifier, the lower gain margin and a clear strategy for incorporating integral action into LQG control;
* includes numerous worked examples, exercises and case studies, which make frequent use of Matlab and the new Robust Control toolbox.
Multivariable Feedback Control: Analysis and Design, Second Edition is an excellent resource for advanced undergraduate and graduate courses studying multivariable control. It is also an invaluable tool for engineers who want to understand multivariable control, its limitations, and how it can be applied in practice. The analysis techniques and the material on control structure design should prove very useful in the new emerging area of systems biology.
Reviews of the first edition:
"Being rich in insights and practical tips on controller design, the book should also prove to be very beneficial to industrial control engineers, both as a reference book and as an educational tool." Applied Mechanics Reviews
"In summary, this book can be strongly recommended not only as a basic text in multivariable control techniques for graduate and undergraduate students, but also as a valuable source of information for control engineers." International Journal of Adaptive Control and Signal Processing
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Weitere Infos & Material
Preface xi
1 Introduction 1
1.1 The process of control system design 1
1.2 The control problem 2
1.3 Transfer functions 3
1.4 Scaling 5
1.5 Deriving linear models 7
1.6 Notation 10
2 Classical Feedback Control 15
2.1 Frequency response 15
2.2 Feedback control 20
2.3 Closed-loop stability 26
2.4 Evaluating closed-loop performance 28
2.5 Controller design 40
2.6 Loop shaping 42
2.7 IMC design procedure and PID control for stable plants 54
2.8 Shaping closed-loop transfer functions 59
2.9 Conclusion 65
3 Introduction To Multivariable Control 67
3.1 Introduction 67
3.2 Transfer functions for MIMO systems 68
3.3 Multivariable frequency response analysis 71
3.4 Relative gain array (RGA) 82
3.5 Control of multivariable plants 91
3.6 Introduction to multivariable RHP-zeros 95
3.7 Introduction to MIMO robustness 98
3.8 General control problem formulation 104
3.9 Additional exercises 115
3.10 Conclusion 117
4 Elements of Linear System Theory 119
4.1 System descriptions 119
4.2 State controllability and state observability 127
4.3 Stability 134
4.4 Poles 135
4.5 Zeros 138
4.6 Some important remarks on poles and zeros 141
4.7 Internal stability of feedback systems 144
4.8 Stabilizing controllers 148
4.9 Stability analysis in the frequency domain 150
4.10 System norms 156
4.11 Conclusion 162
5 Limitations On Performance In Siso Systems 163
5.1 Input-output controllability 163
5.2 Fundamental limitations on sensitivity 167
5.3 Fundamental limitations: bounds on peaks 172
5.4 Perfect control and plant inversion 180
5.5 Ideal ISE optimal control 181
5.6 Limitations imposed by time delays 182
5.7 Limitations imposed by RHP-zeros 183
5.8 Limitations
