基于BPNN的无轴承异步电机传感器故障诊断及容错控制  

Sensor Fault Diagnosis and Fault-Tolerant Control of a Bearingless Induction Motor Based on BPNN

作　　者：杨泽斌[1] 许婷 孙晓东[2] 贾晶荆 朱熀秋[1] YANG Zebin;XU Ting;SUN Xiaodong;JIA Jingjing;ZHU Huangqiu(School of Electrical Information Engineering,Jiangsu University,Zhenjiang 212013,Jiangsu Province,China;Automotive Engineering Research Institute,Jiangsu University,Zhenjiang 212013,Jiangsu Province,China)

机构地区：[1]江苏大学电气信息工程学院,江苏省镇江市212013 [2]江苏大学汽车工程研究院,江苏省镇江市212013

出　　处：《中国电机工程学报》2022年第11期4218-4226,共9页Proceedings of the CSEE

摘　　要：针对无轴承异步电机(bearinglessinductionmotor,BL-IM)速度传感器故障识别问题,提出一种基于反向传播神经网络(back propagation neural network,BPNN)的故障诊断控制策略。首先,选取BL-IM转矩、相电流等信号作为BPNN传感器故障诊断依据,并利用传感器在不同故障下的转矩等故障数据样本不断地对BPNN进行训练学习,提高故障诊断及故障分类的准确率。其次,利用分数阶模型参考自适应控制(fractional order model reference adaptive system,FO-MRAS)建立无速度传感器容错控制系统,完成故障系统到容错控制系统的切换,最终实现BL-IM在传感器故障下的正常运行。仿真和实验结果均表明,提出的BPNN故障诊断系统不仅能够实现空载以及带载运行时速度传感器故障的准确识别,并且容错控制系统能显著降低传感器故障对转速的影响,同时电机悬浮转子也具有较好的悬浮特性,提高了BL-IM的安全性和可靠性。To handle the speed sensor fault identification for a bearingless induction motor(BL-IM), a fault diagnosis control strategy based on Back Propagation Neural Network(BPNN) was proposed. Firstly, the torque, phase current and other signals of the BL-IM were selected as the basis for the BPNN sensor fault diagnosis. The fault data samples such as the torque of the sensor under different faults were used to continuously train and learn BPNN, so as to improve the accuracy of fault diagnosis and fault classification. Secondly,the speed sensorless fault-tolerant control system was established by using the fractional order model reference adaptive control(FO-MRAS), completing the switch from the fault system to the fault-tolerant control system. Finally,the normal operation of the BL-IM under sensor fault was realized. The simulation and experimental results show that the proposed BPNN fault diagnosis system can realize the accurate identification of speed sensor faults in no-load and on-load operation, and the fault-tolerant control system can significantly reduce the influence of sensor faults on the speed. At the same time, the motor suspension rotor has good suspension characteristics. The security and reliability of the BL-IM can be improved.

关 键 词：无轴承异步电机 反向传播神经网络 速度传感器 故障诊断 容错控制 

分 类 号：TM355[电气工程—电机]