电工技术学报2017，Vol.32Issue(7)：77-83,7.
考虑逆变器非线性因素的表贴式永磁同步电机参数辨识
Parameter Identification of Surface Permanent Magnet Synchronous Machines Considering Voltage-Source Inverter Nonlinearity
摘要
Abstract
Voltage-source inverter(VSI)nonlinearity will influence parameter identification accuracy of surface permanent magnet synchronous machines(SPMSM).This paper establishes a parameter identification model which is not affected by VSI nonlinearity,the process only need to transform stator voltage equations to eliminate the distorted voltage that caused by VSI nonlinearity.Besides,in order to improve convergence speed and reduce steady-state error of the identification results,the proposed method uses Adaline neural network method with a momentum item to identify motor parameters.Experimental results show that the proposed method can improve the identification precision of inductance,stator resistance and rotor flux linkage of the motor,and accelerate the convergence speed of identification results关键词
表贴式永磁同步电机/参数辨识/逆变器非线性因素/Adaline神经网络Key words
Surface permanent magnet synchronous machines(SPMSM)/parameter identification/voltage-source inverter nonlinearity/Adaline neural network分类
信息技术与安全科学引用本文复制引用
史婷娜,刘华,陈炜,耿强..考虑逆变器非线性因素的表贴式永磁同步电机参数辨识[J].电工技术学报,2017,32(7):77-83,7.基金项目
国家自然科学基金项目(51577134)和天津市科技支撑计划项目(16YFZCSF00580)资助. （51577134）
