Robust fuzzy fault-tolerant switching control with actuator partial failure
A robust fuzzy fault-tolerant switching control method is proposed for a class of nonlinear industrial processes with uncertainties,external disturbances and partial actuator failures.Firstly,a new multi-degree-of-freedom T-S(Takagi-Sugeno)fuzzy state space model is constructed.On this basis,the control law is designed considering the partial failure of the actuator.Secondly,the fault-tolerant switching condition and system stability condition based on linear matrix inequality(LMI)are given.The control law and the corresponding weights of the sub-model are obtained from the stability condition and the current system state.Finally,the effectiveness of this method is verified by the simulation of continuous stirred tank reactor.
actuator partial failurefault-tolerant switchingT-S fuzzy modelrobust controlpredictive control
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