Robust Control Engineering: Practical QFT Solutions Front Cover

Robust Control Engineering: Practical QFT Solutions

  • Length: 578 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2017-06-26
  • ISBN-10: B073FP8QMQ
  • Sales Rank: #2293044 (See Top 100 Books)
Description

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

Chapter 1. Introduction
Chapter 2. Qft Robust Control
Chapter 3. Unstable Systems And Control Solutions
Chapter 4. Time-Delay And Non-Minimum Phase Systems
Chapter 5. Distributed Parameter Systems
Chapter 6. Gain Scheduling/Switching Control Solutions
Chapter 7. Nonlinear Dynamic Control
Chapter 8. Multi-Input Multi-Output Systems: Analysis And Control
Chapter 9. Control Topologies
Chapter 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 Appenda
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

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