永磁无刷直流电机漏电故障分析及诊断
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摘要
针对用永磁无刷直流电机电流信号对其漏电故障进行诊断易受汽车电池系统干扰的问题,提出一种对其转速信号进行故障特征提取的方法——阶次自分离方法.该方法以转速信号为分析对象,借鉴传统阶次分析法对变速信号的处理方式,从输出转速信号中分离出转速波动成分,对转速波动成分进行角域重采样,基于转速波动成分的阶次分析,提取由故障状态而引起转速非正常波动的阶次特征.基于永磁无刷直流电机相间漏电故障分析得知漏电故障会使电机产生转速故障信号,通过电机Matlab/Simulink仿真和漏电故障试验,分析不同漏电程度下电机输出转速信号的阶次特征,可以有效地识别电机漏电故障状态.
Diagnose the leakage fault of permanent magnet brushless DC(direct current) motor by current signals is easy to be interfered by automobile battery system.Thus,a new method of fault feature extraction,order self-separation method,was proposed.The rotate speed signal of the motor was used as the research object,and the abnormal fluctuating ingredient in rotate speed of the motor was separated by reference the way how to deal with variable speed signal in terms of domain in traditional order analysis.Based on the order analysis of the speed fluctuation component,the order characteristics of the abnormal fluctuation of the speed caused by the fault condition were extracted.Based on the analysis of phase leakage fault of permanent magnet brushless DC motor,leakage fault makes motor have the speed fault signal.Combining Matlab/Simulink simulation with leakage test,the order characteristic of motor output speed signal under different leakage degree was analyzed,which could effectively identify the leakage fault state of the motor.
Diagnose the leakage fault of permanent magnet brushless DC(direct current) motor by current signals is easy to be interfered by automobile battery system.Thus,a new method of fault feature extraction,order self-separation method,was proposed.The rotate speed signal of the motor was used as the research object,and the abnormal fluctuating ingredient in rotate speed of the motor was separated by reference the way how to deal with variable speed signal in terms of domain in traditional order analysis.Based on the order analysis of the speed fluctuation component,the order characteristics of the abnormal fluctuation of the speed caused by the fault condition were extracted.Based on the analysis of phase leakage fault of permanent magnet brushless DC motor,leakage fault makes motor have the speed fault signal.Combining Matlab/Simulink simulation with leakage test,the order characteristic of motor output speed signal under different leakage degree was analyzed,which could effectively identify the leakage fault state of the motor.
引文
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[1]Sapena A,Pineda M,Puche R,et al.Harmonic order tracking analysis:a novel method for fault diagnosis in induction machines[J].IEEE Transactions on Energy Conversion,2015,30(3):833-841.
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[3]丁左武,王书林,赵伟军,等.铅酸蓄电池相关特性的试验研究[J].蓄电池,2010,47(6):270-275.
[4]黄守道,邓建国,罗德荣.电机瞬态过程分析的MATLAB建模与仿真[M].北京:电子工业出版社,2013.
[5]张奎,雷勇.无刷直流电机智能PID控制系统建模与仿真[J].测控技术,2015,34(4):81-84.
[2]翟丽,董守全,罗开宇.四轮毂电机独立驱动车辆转向电子差速控制[J].北京理工大学学报,2010,30(8):901-905.
[3]王晓远,高鹏.基于进化策略的轮毂电机永磁体结构优化设计[J].中国电机工程学报,2015,35(4):979-984.
[4]褚文博,罗禹贡,韩云武,等.基于规则的分布式电驱动车辆驱动系统失效控制[J].机械工程学报,2012,48(10):90-96.
[5]Tashakori A,Ektesabi M.Fault diagnosis of in-wheel BLDC motor drive for electric vehicle application[C]//Proc of 2013 IEEE Intelligent Vehicles Symposium(IV).Gold Coast:Institute of Electrical and Electronics Engineers Inc,2013:925-930.
[6]田韶鹏,兰志宇,徐文立.轮毂电动机驱动车辆电动机的失效安全性[J].江苏大学学报,2014,35(2):144-148.
[7]Akar M.Detection of a static eccentricity fault in a closed loop driven induction motor by using the angular domain order tracking analysis method[J].Mechanical Systems&Signal Processing,2013,34(1/2):173-182.
[8]胡为,高雷,傅莉.基于最优阶次HMM的电机故障诊断方法研究[J].仪器仪表学报,2013,34(3):524-530.
[1]Sapena A,Pineda M,Puche R,et al.Harmonic order tracking analysis:a novel method for fault diagnosis in induction machines[J].IEEE Transactions on Energy Conversion,2015,30(3):833-841.
[2]杨文超.永磁同步电机匝间短路故障在线诊断研究[D].湖南大学机械与运载工程学院,2016.
[3]丁左武,王书林,赵伟军,等.铅酸蓄电池相关特性的试验研究[J].蓄电池,2010,47(6):270-275.
[4]黄守道,邓建国,罗德荣.电机瞬态过程分析的MATLAB建模与仿真[M].北京:电子工业出版社,2013.
[5]张奎,雷勇.无刷直流电机智能PID控制系统建模与仿真[J].测控技术,2015,34(4):81-84.