Robust Control Engineering

Practical QFT Solutions

Mario Garcia-Sanz

• Publisher: CRC Press
• Year: 2017
• Print ISBN: 9781138032071
• eBook ISBN: 9781315394961
• Topic: Physical Sciences
• Subtopic: Energy

This book thoroughly covers the fundamentals of the QFT robust control, as well as practical control solutions, for unstable, time-delay, non-minimum phase or distributed parameter systems, plants with large model uncertainty, high-performance specifications, nonlinear components, multi-input multi-output characteristics or asymmetric topologies. The reader will discover practical applications through a collection of fifty successful, real world case studies and projects, in which the author has been involved during the last twenty-five years, including commercial wind turbines, wastewater treatment plants, power systems, satellites with flexible appendages, spacecraft, large radio telescopes, and industrial manufacturing systems. Furthermore, the book presents problems and projects with the popular QFT Control Toolbox (QFTCT) for MATLAB, which was developed by the author.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Series Page
• Dedication Page
• Contents
• Preface
• Acknowledgments
• Author
• 1. Introduction
• 2. QFT Robust Control
• 3. Unstable Systems and Control Solutions
• 4. Time-Delay and Non-Minimum Phase Systems
• 5. Distributed Parameter Systems
• 6. Gain Scheduling/Switching Control Solutions
• 7. Nonlinear Dynamic Control
• 8. Multi-Input Multi-Output Systems: Analysis and Control
• 9. Control Topologies
• 10. Controller Implementation
• Case Study 1: Satellite Control
• Case Study 2: Wind Turbine Control
• Case Study 3: Wastewater Treatment Plant Control
• Case Study 4: Radio-Telescope Control
• Case Study 5: Attitude and Position Control of Spacecraft Telescopes with Flexible Appendages
• Appendix 1: Projects and Problems
• Appendix 2: QFT Control Toolbox—User’s Guide
• Appendix 3: Algorithm—Nyquist Stability Criterion in Nichols Chart
• Appendix 4: Algorithms—Smith Predictor Robust Control
• Appendix 5: Algorithms—DPS Robust Control
• Appendix 6: Algorithms—Gain Scheduling/Switching Control
• Appendix 7: Algorithms—Nonlinear Dynamic Control
• Appendix 8: Algorithms—MIMO Robust Control
• Appendix 9: Conversion of Units
• References
• Index