Events Calendar

Adaptive Feedback-Based Detection and Compensation of Dynamic System Failures and Damage

Speaker: Professor Gang Tao, University of Virginia

Talk Title: Adaptive Feedback-Based Detection and Compensation of Dynamic System Failures and Damage

Abstract: Actuator and sensor failures, and system structural damage can cause control system performance deterioration and even lead to instability and catastrophic accidents. Effective date action and compensation of failures and damage are crucial for performance-critical systems. In this talk, we present some of our recently developed adaptive failure and damage detection and compensation techniques whose main features are feedback-based detection with guaranteed stability and direct compensation with fast and improved performance. Actuator failures are characterized by some unknown system inputs stuck at some unknown fixed or varying values at
unknown time instants and cannot be influenced by the applied control signals. Sensor failure and uncertainties cause errors in measuring the system output signals for feedback control. System damage can cause large structural and parametric uncertainties. The task of direct adaptive compensation is to design the feedback control signals in a way that despite uncertain failures and damage, the adaptive control system can automatically achieve desired stability and asymptotic tracking.
A key feature of many fault detection schemes is that they require the system to be detected remains stable when a fault (failure or damage) occurs. This may limit the applicability of such schemes in performance-critical systems applications such as aircraft flight control systems which may become unstable when a fault occurs. A desirable detection scheme should be designed in a feedback framework to ensure the needed stability for effective fault detection. We will address some technical issues in direct adaptive failure and damage compensation and in feedback-based fault detection: system modeling with failures and damage, redundant actuation and sensing, plant-model matching, system invariance under damage, error systems with faults, adaptive detection and compensation design, stability and tracking analysis, and system performance evaluation.

Biography: Gang Tao received his B.S. (EE) degree from University of Science and Technology of China in 1982, M.S. (EE, CpE, ApMath) degrees and Ph.D. (EE) degree from University of Southern California during 1984-1989. For over 25 years, he worked in the areas of adaptive control, with particular interests in adaptive control of systems with multiple inputs and multiple outputs and with nonsmooth nonlinearities and actuator failures, in stability and robustness of adaptive control systems, and in passivity characterizations of dynamic systems. Recently he has been working on adaptive control of systems with uncertain actuator failures and nonlinearities, structure damage and sensor uncertainties, with applications to aircraft flight control.
He is currently an associate editor for Automatica and a subject editor for International Journal of Adaptive Control and Signal Processing. He is a Fellow of IEEE.

Host: Petros Ioannou

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

Audiences: Everyone Is Invited

Contact: Shane Goodoff