Modern anti-windup synthesis : control augmentation for actuator saturation
著者
書誌事項
Modern anti-windup synthesis : control augmentation for actuator saturation
（Princeton series in applied mathematics）
Princeton University Press, c2011
- : hbk.
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This book provides a wide variety of state-space--based numerical algorithms for the synthesis of feedback algorithms for linear systems with input saturation. Specifically, it addresses and solves the anti-windup problem, presenting the objectives and terminology of the problem, the mathematical tools behind anti-windup algorithms, and more than twenty algorithms for anti-windup synthesis, illustrated with examples. Luca Zaccarian and Andrew Teel's modern method--combining a state-space approach with algorithms generated by solving linear matrix inequalities--treats MIMO and SISO systems with equal ease. The book, aimed at control engineers as well as graduate students, ranges from very simple anti-windup construction to sophisticated anti-windup algorithms for nonlinear systems.
* Describes the fundamental objectives and principles behind anti-windup synthesis for control systems with actuator saturation * Takes a modern, state-space approach to synthesis that applies to both SISO and MIMO systems * Presents algorithms as linear matrix inequalities that can be readily solved with widely available software * Explains mathematical concepts that motivate synthesis algorithms * Uses nonlinear performance curves to quantify performance relative to disturbances of varying magnitudes * Includes anti-windup algorithms for a class of Euler-Lagrange nonlinear systems * Traces the history of anti-windup research through an extensive annotated bibliography
目次
*FrontMatter, pg. i*Contents, pg. v*Preface, pg. ix*Arlgorithms Summary, pg. xi*Chapter One. The Windup Phenomenon and Anti-windup Illustrated, pg. 3*Chapter Two. Anti-windup: Definitions, Objectives, and Architectures, pg. 23*Chapter Three. Analysis and Synthesis of Feedback Systems: Quadratic Functions and LMIs, pg. 48*Chapter Four. Static Linear Anti-windup Augmentation, pg. 77*Chapter Five. Dynamic Linear Anti-windup Augmentation, pg. 109*Chapter Six. The MRAW Framework, pg. 157*Chapter Seven. Linear MRAW Synthesis, pg. 174*Chapter Eight. Nonlinear MRAVV Synthesis, pg. 200*Chapter Nine. The MRAVV Structure Applied to Other Problems, pg. 226*Chapter Ten. Anti-windup for Euler-Lagrange Plants, pg. 245*Chapter Eleven. Annotated Bibliography, pg. 269*Index, pg. 285
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