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.
Highlights
Faults, which can bring large damages, and may lead to personnel casualties, often exist in practical engineering
Motivated by the above analysis, this work studies the adaptive fault tolerant control (FTC) design problem for a class of discrete-time nonlinear switched systems suffered from the actuator fault, in which both the loss of effectiveness (LOE) fault and bias fault are considered
The designed controller and adaptive laws guarantee that the states of the system can track the given signals as much as possible and all the signals appearing in the design are bounded under arbitrary switching signals
Summary
Faults, which can bring large damages, and may lead to personnel casualties, often exist in practical engineering. Keywords Actuator fault, discrete-time switched system, fuzzy logic systems, robust control Literature[12] concentrated on the actuator fault tolerant problem for the discrete-time networked control systems.
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