Adaptive fuzzy logic system–based fault tolerant control for a class of discrete-time switched nonlinear systems

Abstract

An adaptive fuzzy-based fault tolerant control method is first proposed for the discrete-time switched nonlinear systems. In this article, the actuator fault is considered, which contains the loss of effectiveness fault and bias fault. Both the effectiveness factor and the bias signal are unknown but bounded. Moreover, there are unknown internal dynamics in the considered system. In order to solve this problem, the fuzzy logic systems are exploited to provide an approximate construction for the unknown dynamics. Then, under arbitrary switching signals, the designed controller and adaptive laws ensure the boundedness of signals appearing in the considered system, and the system states can track the reference signals. Finally, an example shows the efficiency of the developed approach.

A novel fault-tolerant control strategy based on inverse bicausal bond graph model in linear fractional transformation

“…The FDI provides information to the controller about the fault and its location, and then, the AFTC reacts by reconfiguring the controller based on FDI information. [13][14][15][16][17] For instance, in Ji et al, 13 an adaptive AFTC strategy is developed for a longitudinal dynamical system of hypersonic flight vehicles subject to actuator faults. This scheme consists of nonlinear observer model-based fault detection for the system model and combined sliding mode control with back-stepping for a finite-time convergence FT controller.…”

“…Compared with PFTC methods, [10][11][12] which have limited fault acceptability only for the minor amplitude fault, the proposed FTC developed in this article provides more accurate fault estimation and fault compensation, such that the closed-loop control performance is guaranteed even in the presence of large-amplitude faults. Compared with active FTC methods, [13][14][15][16][17][18][19][20][21][32][33][34][35] the proposed FTC scheme developed in this article does not need a reconfigurable mechanism. Thus, it will not lead to the time-delay problem of fault compensation.…”