基于神经网络的PMSM输出转矩温度补偿策略

摘要

永磁同步电机运行时,温度摄动会对导致系统输出转矩出现波动.在对温度扰动因素分析的基础上,基于电机状态方程搭建带有温度扰动量的Simulink电机模型,并构建基于思维进化算法优化的BP神经网络控制器对车载永磁同步电机输出转矩进行温度补偿.仿真结果表明,提出的BP神经网络温度补偿器具有较好的补偿效果,可以得到平滑的输出转矩,最终验证了带温度扰动输入电机模型的合理性和温度补偿控制策略的有效性.%In the operation of PMSMs,the temperature changed with an influence on the output torque through the fluctuation of flux and resistance the PMSM system was led to the fluctuation of output torque.Based on the analysis of the temperature influence to PMSM,a Simulink electrical motor model was built with temperature variable,and the BP neural network compensation was construsted the neural network was optimized by the Mind Evolution Algorithm (MEA),compensating the impact of temperature on the output torque.According to the simulation result,it was found that the BP neural network temperature compensator proposed had an outstanding compensation effect of smooth output torque.Therefore the proposed strategy of temperature compensation was quite efficient.