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Multivariable Feedback Control: Analysis And Design, 2Nd Ed

Multivariable Feedback Control: Analysis And Design, 2Nd Ed

          
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About the Book

Provides an ideal introduction to the analysis and design of robust multivariable control. Model uncertainty, multivariable systems, robustness, interactions between design and control, decentralized control, control structures, model reduction, and an overview of techniques for controller design are among the topics discussed. Parts of the book can be used for self-study, and provide an appropriate background for a number of linear control courses at both undergraduate and graduate levels. Includes numerous worked examples.

About the Author

Professor Sigurd Skogestad, Norwegian University of Science and Technology (NTNU) Head of the Department of Chemical Engineering. Author of more than 100 journal publications and 150 conference publications. He was awarded "Innstilling to the King" for his Siv.Ing. degree in 1979, a Fullbright fellowship in 1983, received the Ted Peterson Award from AIChE in 1989, the George S. Axelby Outstanding Paper Award from IEEE in 1990, and the O. Hugo Schuck Best Paper Award from the American Automatic Control Council in 1992. Professor Ian Postlethwaite, University of Leicester, UK Head of Engineering Department, Fellow of the Institute of Electrical and Electronics Engineers, Fellow of the Institution of Electrical Engineers, and a Fellow of the Institute of Measurement and Control. In 1991 he received the IEE FC Williams Premium, in 2001 the Sir Harold Hartley Medal of the InstMC and in 2002 the Best Paper Prize for an article published in the IFAC Journal of Control Engineering Practice over the period 1999-2002.



Table of Contents:
PREFACE. 1 INTRODUCTION. 1.1 The process of control system design. 1.2 The control problem. 1.3 Transfer functions. 1.4 Scaling. 1.5 Deriving linear models. 1.6 Notation. 2 CLASSICAL FEEDBACK CONTROL. 2.1 Frequency response. 2.2 Feedback control. 2.3 Closed-loop stability. 2.4 Evaluating closed-loop performance. 2.5 Controller design. 2.6 Loop shaping. 2.7 IMC design procedure and PID control for stable plants. 2.8 Shaping closed-loop transfer functions. 2.9 Conclusion. 3 INTRODUCTION TO MULTIVARIABLE CONTROL. 3.1 Introduction. 3.2 Transfer functions for MIMO systems. 3.3 Multivariable frequency response analysis. 3.4 Relative Gain Array(RGA). 3.5 Control of multivariable plants. 3.6 Introduction to multivariable RHP-zeros. 3.7 Introduction to MIMO robustness. 3.8 General control problem formulation. 3.9 Additional exercises. 3.10 Conclusion. 4 ELEMENTS OF LINEAR SYSTEM THEORY. 4.1 System descriptions. 4.2 State controllability and state observability. 4.3 Stability. 4.4 Poles. 4.5 Zeros. 4.6 Some important remarks on poles and zeros. 4.7 Internal stability of feedback systems. 4.8 Stabilizing controllers. 4.9 Stability analysis in the frequency domain. 4.10 System norms. 4.11 Conclusion. 5 LIMITATIONS ON PERFORMANCE IN SISO SYSTEMS. 5.1 Input-Output Controllability. 5.2 Fundamental limitations on sensitivity. 5.3 Fundamental limitations: Bounds on peaks. 5.4 Perfect control and plant inversion. 5.5 Ideal ISE optimal control. 5.6 Limitations imposed by time delays. 5.7 Limitations imposed by RHP-zeros. 5.8 Limitations imposed b y phase lag. 5.9 Limitations imposed by unstable(RHP) poles. 5.10 Performance requirements imposed by disturbances and commands. 5.11 Limitations imposed by input constraints. 5.12 Limitations imposed by uncertainty. 5.13 Summary: Controllability analysis with feedback control. 5.14 Summary: Controllability analysis with feed forward control. 5.15 Applications of controllability analysis. 5.16 Conclusion. 6 LIMITATIONS ON PERFORMANCE IN MIMO SYSTEMS. 6.1 Introduction. 6.2 Fundamental limitations on sensitivity. 6.3 Fundamental limitations: Bounds on peaks. 6.4 Functional controllability. 6.5 Limitations imposed by time delays. 6.6 Limitations imposed by RHP-zeros. 6.7 Limitations imposed by unstable(RHP) poles. 6.8 Performance requirements imposed by disturbances. 6.9 Limitations imposed by input constraints. 6.10 Limitations imposed by uncertainty. 6.11 MIMO Input-output controllability. 6.12 Conclusion. 7 UNCERTAINTY AND ROBUSTNESS FOR SISO SYSTEMS. 7.1 Introduction to robustness. 7.2 Representing uncertainty. 7.3 Parametric uncertainty. 7.4 Representing uncertainty in the frequency domain. 7.5 SISO Robust stability. 7.6 SISO Robust performance. 7.7 Additional exercises. 7.8 Conclusion. 8 ROBUST STABILITY AND PERFORMANCE ANALYSIS FOR MIMO SYSTEMS. 8.1 General control configuration with uncertainty. 8.2 Representing uncertainty. 8.3 Obtaining _, _ and _ . 8.4 Definitions of robust stability and robust performance. 8.5 Robust stability of the__-structure. 8.6 RS for complex unstructured uncertainty. 8.7 Rs with structured uncertainty : Motivation. 8.8 The structured singular value. 8.9 Robust stability with structured uncertainty. 8.10 Robust performance. 8.11 Application: RP with input uncertainty. 8.12 _-synthesis and __-iteration. 8.13 Further remarks on _. 8.14 Conclusion. 9 CONTROLLER DESIGN. 9.1 Trade-offs in MIMO feedback design. 9.2 LQG control. 9.3 __ and __ control. 9.4 __ loop-shaping design. 9.5 Conclusion. 10 CONTROL STRUCTURE DESIGN. 10.1 Introduction. 10.2 Optimal operation and control. 10.3 Selection of primary controlled outputs. 10.4 Regulatory control layer. 10.5 Control configuration elements. 10.6 Control configurations: Decentralized feedback control. 10.7 Conclusion. 11 MODEL REDUCTION. 11.1 Introduction. 11.2 Truncation and residualization. 11.3 Balanced realizations. 11.4 Balanced truncation and balanced residualization. 11.5 Optimal Hankel norm approximation. 11.6 Reduction of unstable models. 11.7 Model reduction using Matlab. 11.8 Two practical examples. 11.9 Conclusion. 12 LINEAR MATRIX INEQUALITIES. 12.1 Introduction to LMI problems. 12.2 Types of LMI problems. 12.3 Tricks in LMI problems. 12.4 Case study: anti-windup compensator synthesis. 12.5 Conclusion. 13 CASE STUDIES. 13.1 Introduction. 13.2 Helicopter control. 13.3 Aero-engine control. 13.4 Distillation process. 13.5 Conclusion. A MATRIX THEORY AND NORMS. A.1 Basics. A.2 Eigen values and eigen vectors. A.3 Singular Value Decomposition. A.4 Relative Gain Array. A.5 Norms. A.6 All pass factorization of transfer function matrices. A.7 Factorization of the sensitivity function. A.8 Linear fractional transformations. B PROJECTWORK and SAMPLE EXAM. B.1 Project work. B.2 Sample exam. BIBLIOGRAPHY. INDEX.


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Product Details
  • ISBN-13: 9788126552672
  • Publisher: Wiley India Pvt Ltd
  • Binding: Paperback
  • No of Pages: 588
  • ISBN-10: 8126552670
  • Publisher Date: 2014
  • Language: English

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