感应电动机电流传感器故障诊断研究

Research on Sensor Fault Diagnosis of Induction Motor

提出一种基于扩张状态观测器和遗传算法的电流传感器故障诊断方法。首先,建立了包含系统模型误差、未知扰动和传感器故障的电动机状态空间数学模型。其次,设计了一个基于电动机状态数学模型的扩张状态观测器。再次,通过闭环系统特征值配置和遗传优化算法搜寻闭环反馈增益矩阵的最优值。最后,建立了基于Matlab的故障诊断系统仿真模型。仿真结果表明,该故障诊断方法可以准确地诊断出传感器故障,并且对系统扰动具有很强的鲁棒性。

A sensor fault diagnosis method based on extended observer and genetic algorithm was presented.First,a mathematical model of induction motor including model error,unknown disturbances and sensor faults was set up.Then,an augmented observer was designed to simultaneously estimate system states and current sensor faults.Finally,in order to attenuate the effects from the modeling error and environment disturbances/noises,a genetic algorithm was employed to design observer gain by minimizing the estimation error against modeling errors and environmental disturbances/noises.Furthermore,a simulation model based on Matlab was designed to validate the proposed methods,which has demonstrated the efficiency of the proposed sensor fault diagnosis approaches.The proposed methods have great potential to improve the reliability of the real-time operation of the induction motor drive systems.