基于滑模-模糊逻辑系统的故障检测及容错控制

Fault Detection and Fault-tolerance Control Method Based on Sliding Mode and Fuzzy Logic System

针对一类单输入单输出非线性不确定系统,提出了一种基于滑模-模糊逻辑系统的故障检测的方法。其中,利用模糊逻辑系统对被控对象中的未知函数进行逼近,用相同方法对故障项进行逼近;设计滑模观测器进行故障检测和诊断,然后基于Lyapunov函数综合设计方法对系统进行稳定性分析;当故障被检测出后,为保证系统稳定性重组控制器,设计控制器,实现容错控制。仿真结果验证了该方法的有效性。

Against a single input and output nonlinear system of uncertainty, a fault detection and diagnosis strategy for a class of SISO nonlinear system was proposed. Hereby, the application of fuzzy logic system was made to the approximation of the unknown function in the object being controlled, and the same method was used to approximate the fault item. Then, a sliding mode observer was designed and built to have fault detected and diagnosed. To the above effect, the global asymptotic stability in the system was established, based on Lyapunov sense. After the fault was detected, the controller was also designed to ensure the system＇s stability of regrouping controllers so that fault-tolerance control can be implemented. The simulation result verified the effectiveness of this proposed control algorithm.