Modern Anti-windup Synthesis: Control Augmentation for Actuator Saturation

Modern Anti-windup Synthesis: Control Augmentation for Actuator Saturation

by Luca Zaccarian, Andrew R. Teel
     
 

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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

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Overview

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

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Product Details

ISBN-13:
9781400839025
Publisher:
Princeton University Press
Publication date:
07/11/2011
Series:
Princeton Series in Applied Mathematics
Sold by:
Barnes & Noble
Format:
NOOK Book
Pages:
304
File size:
9 MB

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Meet the Author

Luca Zaccarian is associate professor of control engineering at the University of Rome, Tor Vergata. Andrew R. Teel is a professor in the Electrical and Computer Engineering Department at the University of California, Santa Barbara.

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