摘要
针对随机线性控制系统提出了新的故障诊断方法·对于执行器故障情形,通过数学变换将故障转化为系统的未知输入,然后利用未知输入卡尔曼滤波器技术实现执行器故障诊断·诊断算法给出含噪故障估计值·为得到精确值,又采用了小波去噪方法·两种方法有机结合可对同时或接连发生的多执行器参数故障进行有效诊断,故障检测与估计及时准确·最后给出了仿真实例,结果验证了提出方法的正确性·
A new fault diagnosis method for stochastic linear control system was presented. When actuator fault occurs, the faults are translated into unknown inputs of the system through mathematic transforms. The actuator fault diagnosis can be realized through using unknown input kalman filter technique. Diagnosis algorithm gives the estimated values of the faults. In order to obtain the accurate values of the faults, the wavelet transform method was adopted. Multiactuator faults that occur simultaneously or successively can be diagnosed effectively through the organic combination of the two methods. The fault diagnosis system can detect faults in good time and evaluate fault values accurately.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2003年第7期620-623,共4页
Journal of Northeastern University(Natural Science)
基金
辽宁省自然科学基金资助项目(002013).
关键词
故障诊断
多执行器
未知输入滤波器
小波变换
随机系统
fault diagnosis
multi-actuator
unknown input filter
wavelet transform
stochastic system
