On-line intelligent fault-tolerant control for catastrophic system failures

Gary G. Yen; Liang-Wei Ho

doi:10.1117/12.434245

20 July 2001 On-line intelligent fault-tolerant control for catastrophic system failures

Gary G. Yen, Liang-Wei Ho

Proceedings Volume 4389, Component and Systems Diagnostics, Prognosis, and Health Management; (2001) https://doi.org/10.1117/12.434245
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

While most research attention has been focused on fault detection and diagnosis, much less research effort has been dedicated to `general' failure accommodation. Due to the inherent complexity of nonlinear systems, most of model- based analytical redundancy fault diagnosis and accommodation studies deal with the linear system that is subject to simple additive or multiplicative faults. This assumption has limited the effectiveness and usefulness in practical applications. In this research work, the on-line fault accommodation control problems under catastrophic system failures are investigated. The main interest is focused on dealing with the unanticipated system component failures in the most general formulation. Through discrete- time Lyapunov stability theory, the necessary and sufficient conditions to guarantee the system on-line stability and performance under failures are derived and a systematic procedure and technique for proper fault accommodation under the unanticipated failures are developed. A complete architecture of fault diagnosis and accommodation has also been presented by incorporating the developed intelligent fault tolerant control scheme with a cost-effective fault detection scheme and a multiple-model based failure diagnosis process to efficiently handle the false alarms and the accommodation of both the anticipated and unanticipated failures in on-line situations.

Citation Download Citation

Gary G. Yen and Liang-Wei Ho "On-line intelligent fault-tolerant control for catastrophic system failures", Proc. SPIE 4389, Component and Systems Diagnostics, Prognosis, and Health Management, (20 July 2001); https://doi.org/10.1117/12.434245

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