Modern Anti-windup Synthesis
Control Augmentation for Actuator Saturation
Nonfiction, Science & Nature, Mathematics, Applied, Technology, Engineering
| Author: | Luca Zaccarian, Andrew R. Teel | ISBN: | 9781400839025 |
| Publisher: | Princeton University Press | Publication: | July 11, 2011 |
| Imprint: | Princeton University Press | Language: | English |
| Author: | Luca Zaccarian, Andrew R. Teel |
| ISBN: | 9781400839025 |
| Publisher: | Princeton University Press |
| Publication: | July 11, 2011 |
| Imprint: | Princeton University Press |
| Language: | English |
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
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
