Fault accommodation for nonlinear systems using fuzzy adaptive sliding control
| Autor: | Youmei Zhang, David J. Clements, Fengjun Wang, Ray Eaton, T. Hesketh |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Stuck-at fault
Adaptive neuro fuzzy inference system Variable structure control Control and Systems Engineering Control theory Control reconfiguration Fuzzy control system Fault (power engineering) Sliding mode control Fuzzy logic Computer Science Applications Theoretical Computer Science Mathematics |
| Zdroj: | International Journal of Systems Science. 36:215-220 |
| ISSN: | 1464-5319 0020-7721 |
| DOI: | 10.1080/00207720500032622 |
| Popis: | An active fault accommodation control law is developed for a class of nonlinear systems to guarantee the closed-loop stability in the presence of a fault, based on a fuzzy logic system representation of the dynamics due to faults. It uses fuzzy logic system to approximate the dynamic caused by the fault. Through the adaptive process of the parameters, the dynamics caused by the fault is counteracted. The fuzzy sliding mode control is introduced to attenuate the fuzzy approximation error. Simultaneity, the closed-loop system is stable in Lyapunov sense and the tracking error converges to a neighbourhood of zero. The example of the proposed design indicates that the fault accommodation control law is effective for a nonlinear system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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