Abstract：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.
吕浪,熊万里. 基于SPWM逆变器供电的电主轴电机铁损特性改进预测模型[J]. 电工技术学报, 2015, 30(2): 155-161.
Lü Lang,Xiong Wanli. Improved Model for Predicting Iron Loss Characteristics of Electric-Spindle Motors Based on SPWM Inverter Supply. Transactions of China Electrotechnical Society, 2015, 30(2): 155-161.
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