Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Adaptive Fuzzy Fault-Tolerant Control against Time-Varying Faults via a New Sliding Mode Observer Method

Version 1 : Received: 16 July 2021 / Approved: 21 July 2021 / Online: 21 July 2021 (15:14:06 CEST)

How to cite: Zhang, Y.; Nie, Y.; Dong, Z.; Chen, L. Adaptive Fuzzy Fault-Tolerant Control against Time-Varying Faults via a New Sliding Mode Observer Method. Preprints 2021, 2021070498 (doi: 10.20944/preprints202107.0498.v1). Zhang, Y.; Nie, Y.; Dong, Z.; Chen, L. Adaptive Fuzzy Fault-Tolerant Control against Time-Varying Faults via a New Sliding Mode Observer Method. Preprints 2021, 2021070498 (doi: 10.20944/preprints202107.0498.v1).

Abstract

In this paper, the problem of observer-based adaptive sliding mode control is discussed for nonlinear systems with sensor and actuator faults. The time-varying actuator degradation factor and external disturbance are considered in the system simultaneously. In this study, the original system is described as a new normal system by combining the state vector, sensor faults and external disturbance into a new state vector. For the augmented system, a new sliding mode observer is designed, where a discontinuous term is introduced such that the effects of sensor and actuator faults and external disturbance will be eliminated. In addition, based on a tricky design of the observer, the time-varying actuator degradation factor term is developed in the error system. On the basis of the state estimation, an integral-type adaptive fuzzy sliding mode controller is constructed to ensure the stability of the closed-loop system. Finally, the effectiveness of the proposed control methods can be illustrated with a numerical example.

Keywords

Fault tolerant control; Adaptive fuzzy control; Time-varying actuator faults; Sliding mode control; Sliding mode observer

Subject

MATHEMATICS & COMPUTER SCIENCE, Algebra & Number Theory

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