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A Rapid Fault Reconstruction Strategy Using a Bank of Sliding Mode Observers
This paper deals with the design of a model-based rapid fault detection and
isolation strategy using sliding mode observers. To address this problem, a new
scheme is proposed by adaptively combining the information provided by a bank
of observers. In this regard, a new structure for sliding mode observers is
considered. Then, the well-known recursive least square algorithm is utilized
to merge individual state estimations suitably such that the system fault is
detected faster. The required condition for enhancing perfect state estimation
is derived, and the stability of the overall system is proven via Lyapunov's
direct method. The supremacy of proposed scheme is fully discussed through
mathematical analyses as well as simulations