基于迭代学习观测器的舵机故障诊断  

Fault Diagnosis for Control Actuator Based on Iterative Learning Observer

作　　者：张济森 李秀娟[1] 周辉 ZHANG Ji-sen;LI Xiu-juan;ZHOU Hui(College of Automation Engineering,NUAA,Nanjing 210016 China)

机构地区：[1]南京航空航天大学自动化学院,江苏南京210016

出　　处：《自动化技术与应用》2022年第7期1-5,共5页Techniques of Automation and Applications

摘　　要：针对舵机系统的控制失效故障,设计了基于迭代学习观测器的故障诊断方法。采用比例微分迭代学习算法在精确估计故障值的同时又可以取得比单纯比例型迭代学习算法较快的收敛速度。基于线性矩阵不等式方法给出满足稳定性条件的迭代算法参数,并根据李雅普诺夫判据进行稳定性证明。该方法不仅可以有效地检测出系统控制失效故障类型,还可以精确估计出故障数值。最后仿真结果验证了该方法的有效性。A fault diagnosis method based on iterative learning observer(ILO)is designed for the control failure of the steering system.The proportional differential iterative learning algorithm can accurately estimate the fault value and obtain faster convergence speed than the simple proportional iterative learning algorithm.Based on LMI method,the parameters of iterative algorithm satisfying the stability condition are given,and the stability is proved according to Lyapunov criterion.This method can not only effectively detect the type of system control failure,but also accurately estimate the fault value.Finally,the simulation results verify the effectiveness of the method.

关 键 词：舵机故障 迭代学习观测器 故障估计 故障检测 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]