电气传动2018，Vol.48Issue(4)：3-7,5.DOI:10.19457/j.1001-2095.20180401
感应电动机电流传感器故障诊断研究
Research on Sensor Fault Diagnosis of Induction Motor
摘要
Abstract
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.关键词
故障诊断/遗传算法/传感器故障/感应电动机/扩张状态观测器/矢量控制Key words
fault diagnosis/genetic algorithm/sensor fault/induction motor/augmented observer/vector control分类
信息技术与安全科学引用本文复制引用
孙凯,何柏娜,Sarah Odofin,谷雨..感应电动机电流传感器故障诊断研究[J].电气传动,2018,48(4):3-7,5.基金项目
山东省高等学校科技计划项目(J14LN27) （J14LN27）
