一类不确定非线性系统的模糊自适应容错控制

Fuzzy Adaptive Fault-tolerance Control for a Class of Nonlinear Systems

针对一类不确定非线性系统提出了间接模糊自适应容错控制器的设计方法。利用模糊逻辑系统来逼近未知函数包括故障项,用滑模控制补偿模糊逼近误差,通过改变控制器结构来补偿执行器故障所带来的影响,同时基于Lyapunov方法进行了稳定性分析。通过仿真验证该方法的有效性。

An fuzzy adaptive fault-tolerance control architecture was proposed for a class of continuous-time nonlinear dynamic systems. The architecture employed fuzzy systems to approximate nonlinear function which includes fault function, uses fuzzy sliding controller to compensate for the fuzzy approximation error, through altering the structure of controller to compensate for the influence due to actuators fault, Global asymptotic stability was established in the Lyapunov sense, with the tracking errors converging to a neighborhood of zero. The example expatiated that the fuzzy adaptive fanlt-tolerance control architecture is effective for nonlinear systems.