基于自适应FBFN网络的不确定系统容错方法

Adaptive FBFN Based Fault Accommodation Approach and Its Simulation for Uncertain System

提出了一种基于自适应模糊基函数网络(AFBFN)的不确定系统的容错方法,解决不确定系统的故障容错问题。不确定系统由已知数学模型和未知模型组成。应用模糊基函数网络(FBFN)离线估计不确定系统无故障时的未知模型,用AFBFN在线估计系统的未知模型。由已知数学模型和FBFN组成参考模型。根据参考模型、实际系统和AFBFN的输出用另一个AFBFN得到不确定系统的反馈控制输入,使实际系统跟踪参考模型给出的期望输出。最后给出了某飞机的微波着陆系统仿真结果。

An approach for fault accommodation in uncertain system based on adaptive fuzzy basis function network ( AFBFN) is presented in this paper. The uncertain system is composed of unknown pan and known part represented by a mathematical model. A fuzzy basis function network ( FBFN) is trained offline to represent the model of unknown part. AFBFN is trained online to represent the unknown model included the unknown fault. Another AFBFN is used to accommodate the fault and give out the feedback control input of the uncertain system according to outputs of actual system, AFBFN and reference model composed of mathematical model and FBFN. A simulation example of microwave landing system in an aircraft is given for illustration.