Reverse Engineering in Control Design.
Title:
Reverse Engineering in Control Design.
Author:
Alazard, Daniel.
ISBN:
9781118602621
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (157 pages)
Series:
FOCUS Series
Contents:
Title Page -- Contents -- Nomenclature -- Introduction -- Chapter 1. Observer-based Realization of a Given Controller -- 1.1. Introduction -- 1.2. Principle -- 1.3. A first illustration -- 1.4. Augmented-order controllers -- 1.5. Discussion -- 1.6. In brief -- 1.7. Reduced-order controllers case -- 1.8. Illustrations -- 1.8.1. Illustration 1: plant state monitoring -- 1.8.2. Illustration 2: controller switching -- 1.8.3. Illustration 3: smooth gain scheduling -- 1.9. Reference inputs in observer-based realizations -- 1.9.1. General results -- 1.9.2. Illustration -- 1.10. Disturbance monitoring and rejection -- 1.10.1. General results -- 1.10.2. Illustration -- 1.11. Minimal parametric description of a linear system -- 1.12. Selection of the observer-based realization -- 1.12.1. Luenberger observer dynamics assignment -- 1.12.2. State-estimator dynamics assignment -- 1.13. Conclusions -- 1.14. Bibliography -- Chapter 2. Cross Standard Form and Reverse Engineering -- 2.1. Introduction -- 2.2. Definitions -- 2.3. Low-order controller case (nK ≤ n) -- 2.3.1. Uniqueness condition -- 2.3.2. Existence of a CSF -- 2.4. Augmented-order controller case (nK > n) -- 2.5. Illustration -- 2.5.1. Solving the inverse H∞-optimal control problem -- 2.5.2. Improving K0 with frequency-domain specification -- 2.5.3. Improving K0 with phase lead -- 2.6. Pseudo-cross standard form -- 2.6.1. A reference model tracking problem -- 2.6.2. Illustration -- 2.6.3. Comment -- 2.7. Conclusions -- 2.8. Bibliography -- Chapter 3. Reverse Engineering for Mechanical Systems -- 3.1. Introduction -- 3.2. Context -- 3.3. Model, specifications and initial controller -- 3.4. H8 design based on the acceleration sensitivity function -- 3.4.1. General results -- 3.4.2. Illustration -- 3.4.3. Analysis on an augmented model -- 3.4.4. Illustration -- 3.4.5. Synthesis on an augmented model.
3.4.6. Illustration -- 3.4.7. Taking into account a roll-off specification -- 3.4.8. Illustration -- 3.4.9. Taking into account an integral term -- 3.4.10. Illustration -- 3.5. Mixed H2/H∞ design based on the acceleration sensitivity function -- 3.5.1. The one degree of freedom case -- 3.5.2. First-order optimality conditions -- 3.5.3. Numerical solution using Matlab -- 3.5.4. Multi-variable case -- 3.6. Aircraft lateral flight control design -- 3.6.1. Model and specifications -- 3.6.2. Basic H2/H∞ control problem -- 3.6.3. Augmented H∞ control problem -- 3.7. Conclusions -- 3.8. Bibliography -- Conclusions and Perspectives -- Appendices -- Appendix 1. A Preliminary Methodological Example -- Appendix 2. Discrete-time Case -- Appendix 3. Nominal State-feedback for Mechanical Systems -- Appendix 4. Help of Matlab® Functions -- List of Figures -- Index.
Abstract:
Reverse Engineering in Control Design proposes practical approaches to building a standard H-infinity problem taking into account an initial controller. Such approaches allow us to mix various control objectives and to initialize procedures for a fixed-structure controller design. They are based on the Observer-Based Realization (OBR) of controllers. The interest of OBR from the controller implementation point of view is detailed and highlighted in this book through academic examples. An open-source toolbox is available to implement these approaches in Matlab®. Throughout the book academic applications are proposed to illustrate the various basic principles. These applications have been chosen by the author for their pedagogic contents and demo files and embedded Matlab® functions can be downloaded so readers can run these illustrations on their personal computers. Contents 1. Observer-based Realization of a Given Controller. 2. Cross Standard Form and Reverse Engineering. 3. Reverse Engineering for Mechanical Systems. Appendix 1. A Preliminary Methodological Example. Appendix 2. Discrete-time Case. Appendix 3. Nominal State-feedback for Mechanical Systems. Appendix 4. Help of Matlab® Functions. About the Authors Daniel Alazard is Professor in System Dynamics and Control at Institut Supérieur de l'Aéronautique et de l'Espace (ISAE), Toulouse, France - SUPAERO Graduate Program. His main research interests concern robust control, flexible structure control and their applications to various aerospace systems.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Genre:
Electronic Access:
Click to View