矢量控制系统中感应电机电流传感器故障诊断

Current Sensor Fault Diagnosis for Induction Motor in Vector Control System

提出一种矢量控制系统中感应电动机电流传感器故障诊断方法。建立包含扰动和传感器故障的电动机状态空间数学模型,设计一个基于电动机状态空间数学模型的扩张状态观测器,并设计一个故障估计器,用以估计故障和系统状态。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,提高估计精度和鲁棒性,利用Matlab仿真模型和实时数据进行仿真验证。

A current sensor fault diagnosis method of induction motor in vector control system is proposed. A state-space form including sensor faults and environmental disturbances/noises of induction machine is described. An augmented observer is designed to simultaneously estimate system states, and current sensor faults. To attenuate the effects from the environmental disturbances^noises, a genetic algorithm is employed to design observer gain by minimizing the estimation error against environmental disturbances and noises. A simulation model based on Matlab and real-data of the induction motor collected by experiment is utilized to validate the proposed methods, which show 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.