一类仿射型非线性系统智能故障诊断

针对一类仿射型非线性系统,在状态不完全可观测的条件下,研究其智能故障诊断问题.首先,利用微分同胚,提出系统观测器设计问题;然后针对该系统提出基于RBF神经网络逼近故障特性函数的故障诊断方法.所设计的观测器不仅能保证观测器稳定,而且通过观测误差信号识别系统故障的发生,保证了故障检测算法的鲁棒性和故障系统的稳定性;同时该设计方法对于设计常规的高增益观测器有一定帮助.最后通过仿真示例表明了所设计方法的有效性.

Intelligent Fault Diagnosis for a Class of Affine Nonlinear System

The problem of intelligent fault diagnosis for a class of affine nonlinear system with incompletely observable
states is considered. Firstly, the design problem of the observer is proposed by means of diffeomorphism, and then the method of fault diagnosis based on the fault function provided by RBF neural network for the system is given. The design observer not only guarantees the observer stable but also identifies the occurrence of the fault by obserbering error signal, which guarantees the robustness of fault diagnosis algorithm and the stability of fault system. At the same time, the method is helpful to design the normal high gain observer. A simulation experiment shows the effectiveness of the proposed approach.