基于STF的非线性系统故障诊断与容错控制

STF and Its Application in Fault Diagnosis and Fault Tolerant Control of Nonlinear Systems

本文介绍了一种基于强跟踪滤波器(strong tracking filter—STF)理论的故障观测器,并将其与基于状态估计值的自适应PID控制和修正的Bayes分类算法(modified Bayes algorithm—MB算法)相结合,实现了一类非线性时变系统状态与参数的无偏估计,从而得到一种闭环非线性系统元部件故障的检测与诊断方法,并实现了系统的容错控制。仿真实例验证了该方法是一种很有效的在线故障检测与诊断方法。

A method of fault observer based on strong tracking filter is introduced. The method is combined with PID feedback control based on state estimate and modified Bayes algorithm to obtain a FDD method of closed loop nonlinear systems. The method would be quite effective because the states and parameters of the system can be identified rather accurately. Simulation studies demonstrate that the method is really effective.