基于模糊T-S模型的有执行器故障和有界干扰的自适应容错控制

Adaptive Fault-tolerant Control with Actuator Failures and Bounded Disturbances Based on the T-S Fuzzy Model

针对一类带有执行器故障和有界干扰的T-S模糊系统,提出了一种模糊自适应的容错控制方法。由于控制系统的故障和干扰上界是未知的,首先提出了参数自适应律来估计控制器中的未知参数。在此基础上,给出了一种自适应容错控制方法。应用Lyapunov函数理论,给出和证明了带有执行器故障和有界干扰的T-S模糊闭环系统的稳定的充分条件。仿真结果进一步验证了所提出的方法的有效性。

For a class of T-S fuzzy systems with actuator failures and bounded disturbances, fuzzy adaptive fault-tolerant control approach is developed. While both faults and upper bound of disturbances are unknown, first the fuzzy adaptive laws are proposed to estimate the unknown controller parameters. On this basis, the fuzzy adaptive fault-tolerant control approach is given. By using Lyapunov function theory, the asymptotic stability sufficient conditions of the closed-loop fuzzy T-S systems with actuator failures and bounded disturbances are proved. Simulation results demonstrate the effectiveness of the proposed approach and conditions.