无刷直流电动机转子退磁故障的检测方法  被引量:6

Detection of rotor demagnetization fault on brushless DC motor

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作  者:赵向阳[1] 葛文韬[1] 

机构地区:[1]北京航空航天大学自动化科学与电气工程学院,北京100191

出  处:《电机与控制学报》2012年第2期50-55,共6页Electric Machines and Control

基  金:航空科学基金(20080751024)

摘  要:为了研究无刷直流电动机的转子退故障,基于Ansoft/Maxwell软件平台,设置转子退磁故障,建立求解电机反电动势的有限元模型;基于Ansoft/Simplorer软件平台,建立无刷直流电动机系统的仿真模型。在电机稳态运行下,对定子电流进行傅里叶分析,研究并建立基于定子电流监测转子退磁故障的仿真模型:退磁故障与特征频率的关系、退磁故障程度与特征频率幅值的关系。进一步,采用基于转矩常数估计的方法对无刷直流电机的转子退磁故障进行监测。仿真结果表明,在转速波动较小时采用定子电流分析法的效果更好,在转速波动较大时,采用转矩常数估计法可以在线监测无刷直流电动机转子的退磁故障。In order to study the demagnetization fault on brushless DC motor,the electro-motive-force(EMF) is resolved and the demagnetization fault is implemented based on the finite element method(FEA) with Ansoft/Maxwell.The system of brushless DC motor(BLDC) was simulated with Ansoft/Simplorer software according to the mathematical model.In steady state,the fast Fourier transform(FFT) analysis was used on the stator current.The simulated model of detecting demagnetization based on the stator current signature analysis stator current signature analysis method was investigated and implemented: the frequency used to indentify demagnetization fault,and the amplitude of frequency to estimate the demagnetization severity.In addition,the estimation of torque constant was used to detect the demagnetization fault.The results indicate that the stator current signature analysis can be used to detect the demagnetization fault when the speed pulsation is low and the estimation of torque constant method can be used to detect the demagnetization fault when the speed pulsation is high.

关 键 词:无刷直流电动机 退磁故障 定子电流 有限元 转矩常数 

分 类 号:TM307[电气工程—电机]

 

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