基于SPWM逆变器供电的电主轴电机铁损特性改进预测模型

Improved Model for Predicting Iron Loss Characteristics of Electric-Spindle Motors Based on SPWM Inverter Supply

适合电主轴电机工程设计的铁损分析预测问题目前尚未圆满解决:如谐波分析法计算繁琐,效率低,而且由于硅钢片特性实验数据的不足,难以对电主轴电机的铁损进行有效预测;神经网络预测法计算精度与可靠性依赖于实验训练的样本数;现有参数估计预测模型对谐波涡流损耗项的界定不合理,计算误差大。针对现有方法的不足,建立基于正弦脉宽调制SPWM(Sinusoidal Pulse Width Modulation,SPWM)电压源逆变器供电的电主轴电机铁心软磁材料铁损特性改进的参数估计预测模型,对模型中谐波涡流损耗系数进行重新定义、推导和修正。对比分析了该模型、现有模型和谐波分析法的计算结果,并对电主轴电机铁心软磁材料的铁损特性进行了理论预测与实验研究。仿真与实验证实了改进模型的正确性和有效性。

How to analyze and predict iron losses in electric-spindle motors during design process is not solved satisfactorily. For example, the harmonic analysis method is complex, inefficient and difficult to effectively predict iron losses in electric-spindle motors due to lacking the measured data on characteristics of silicon steel sheets. The prediction method based on nerve network, its computational accuracy and reliability is dependent on the size of training samples. The existing parameter estimation prediction model will lead to an unaccepted error between theory and reality, since the item of harmonic eddy current losses is unreasonably defined in the model. The disadvantages of the existing methods are focused on. The improved model for predicting iron loss characteristics of core soft magnet materials used for in electric-spindle motors based on sinusoidal pulse width modulation(SPWM) voltage source inverter supply is established. The coefficient of harmonic eddy current losses is redefined, derived and revised in the improved model. The results calculated by the improved model are compared with those obtained from the existing model and the harmonic analysis method. The improved model is adopted to predict iron loss characteristics of core soft magnet materials for electric-spindle motors. The experiment is also performed. It is validated that the correctness and validity of the improved model is confirmed by simulation and experiment.