Fault Estimation and Fault-Tolerant Control for Discrete-Time Nonlinear Systems With Perturbation: a Mixed Design Scheme
Abstract: This paper examines the observer-based fault-tolerant control issue for discrete-time nonlinear systems experiencing perturbations and fault signals. The nonlinear term with perturbation is first incorporated into the local nonlinear component, allowing the nonlinear system with perturbation to be represented as an interval type-1 (IT1) T-S fuzzy system. Next, using unknown input observer technology, an IT1 T-S fuzzy fault estimation (FE) observer scheme is developed to obtain real-time FE data and decouple the local nonlinear component from the estimation error system, thereby reducing design complexity and computational load simultaneously. Subsequently, based on the real-time FE data, an FE-based interval type-2 (IT2) T-S fuzzy fault-tolerant control scheme is proposed to compensate for the fault signal's impact and stabilize the system. Unlike traditional approaches, a mixed design strategy combining the IT1 T-S fuzzy fault estimation observer method with the IT2 T-S fuzzy fault-tolerant controller method is introduced in this paper. This strategy not only lessens computational load but also produces less conservative outcomes. Finally, the validity of the mixed design approach is verified through an example.
Submission Number: 204
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