Robust and Adaptive Control Theory
In This Section
This three part workshop presents theory and applications in robust and adaptive control. Part 1 covers in detail robustness theory and practical optimal control methods for baseline control design and lessons learned in applying these methods. Part 2 begins with an overview of adaptive methods and covers Lyapunov stability theory, model reference adaptive control, adaptive control using neural networks, and applications. Part 3 introduces recently developed L1 adaptive control theory, which enables theoretical predictions of closed-loop transient performance during adaption and stability robustness margins (time delay margins). Real aerospace examples using advanced unmanned systems and the X-45A J-UCAS aircraft are used throughout the course to illustrate key points of the various designs. This workshop focuses on the theory, methods, and lessons learned in applying robust and adaptive control architectures to fighter aircraft and advanced unmanned systems. Recent flight tests of AirSTAR from NASA LaRC will be illustrated as an application of L1 theory. Matlab files will be included implementing all the concepts.
- Linear Robust and Optimal Control Theory Design and Analysis.
- Lyapunov Stability Theory, Artificial Neural Networks
- Model Reference Adaptive Control.
- L1 Adaptive Control
- Lessons Learned in Applying Robust and Adaptive Control To Aircraft, Missiles, Munitions, and Ejection Seats.
Who Should Attend:
This workshop teaches how to design and analyze robust and adaptive control systems. An undergraduate level background in control system design and analysis is required. This workshop presents theory and lessons learned from application of robust and adaptive control to fighter aircraft, unmanned aircraft, missiles, guided munitions, and ejection seats.
Type of Course: Instructor-Led Short Course
Course Level: Advanced
Course scheduling available in the following formats:
- Course at Conference
- On-site Course
- Stand-alone/Public Course
Course Length: 2 days
AIAA CEU's available: yes
I. Part 1 - Review of Basics
A. Frequency Domain Analysis – Theory and methods for MIMO analysis and design
B. Robust Control System Design - Control system design
C. Robust servomechanism
D. Linear Quadratic Regulator (LQR)
E. Projective control theory, mu–synthesis, H∞ optimal control.
F. What makes a control system robust
II. Part 2 - Review of Lyapunov Stability Theory
A. Model Reference Adaptive Control, Neural Networks, (NN)
B. Adaptive NeuroControl, Adaptive Backstepping
C. F-16 Control Design Example
D. Adaptive Control Modifications
E. Adaptive Control Augmentation of a Baseline Flight Controller
III. Part 3 - L1 Adaptive Control Theory
IV. Systems with Matched Uncertainties
V. Performance Bounds, Robustness/Stability Margins
VI. Verification and Validation Examples
VII. Output Feedback Extension, Autopilot Augmentation Architecture
VIII. Systems with Unmatched Uncertainties
IX. AirSTAR flight tests
Since course notes will not be distributed onsite, AIAA and your course instructor are highly recommending that you bring your computer with the course notes already downloaded to the course.
Once you have registered for the course, these course notes are available about two weeks prior to the course event, and are available to you in perpetuity.
Dr. Kevin A. Wise, Senior Technical Fellow in the Boeing Phantom Works, is currently the Vehicle Management System Lead Engineer on the Boeing’s unmanned aircraft programs. He has designed flight control systems for fighter aircraft, missiles, munitions, ejections seats, and unmanned aircraft.
Dr. Eugene Lavretsky is a Senior Technical Fellow in the Boeing Research and Technology. At Boeing, he developed flight control and simulation technologies for aircraft, guided munitions, and unmanned systems.
Dr. Naira Hovakimyan is a professor of Mechanical Science and Engineering at UIUC. She has co-authored the book “L1 adaptive control theory: Guaranteed robustness with fast adaptation”, published by SIAM in 2010. She is UIUC scholar, co-author of more than 250 publications, has supervised ten Ph.D. and five MS students.