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基于DSP的开关磁阻电机磁链特性检测与神经网络建模

, PP. 68-73

Keywords: 开关磁阻电机,磁链特性,小波神经网络,DSP,TMS320F2812

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Abstract:

基于实测磁化曲线提出一种开关磁阻电机小波神经网络磁链模型。设计了基于DSP的开关磁阻电机磁链特性检测系统,在上位机中采用离散方法计算磁链值,获得不同角位置下的电机磁化曲线族;利用实测磁链特性建立神经网络模型,选择Mexicanhat小波函数作为隐层激励函数,采用下降梯度法对网络进行训练以确定模型参数。仿真结果表明,所提出的开关磁阻电机小波神经网络磁链模型具有较小的误差和较强的泛化能力,对实现开关磁阻电机在线优化控制具有实际意义。

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