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基于双模态自适应小波粒子群的永磁同步电机多参数识别与温度监测方法

DOI: 10.3724/SP.J.1004.2013.02121, PP. 2121-2130

Keywords: 粒子群,永磁同步电机,参数辨识,温度监测,自适应

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Abstract:

?提出了一种双模态自适应小波粒子群(Binary-modaladaptivewaveletparticleswarmoptimization,BAWPSO)的永磁同步电机(Permanentmagnetsynchronousmotor,PMSM)多参数识别与温度监测方法.为了提高算法动态寻优性能,群体被划分为正向学习和反向学习两种模态;对处于不同模态的粒子分别采用正向学习策略与反向学习策略协同求解,扩大了解的搜索空间;同时对粒子个体极值采用自适应小波算子增强学习以提高收敛精度.永磁同步电机参数辨识结果表明所提方法能够有效地辨识电机电阻,dq轴电感与转子磁链等参数,且能有效追踪系统参数变化值.在辨识出电机定子绕阻值后,根据金属阻值与温度之间的线性原理间接计算定转子温度,从而实现永磁同步电机系统温度在线监测.

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