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常用的基于转矩分配函数(TSF)的控制方法从转矩-电流非线性关系得到参考相电流,数学关系复杂,参数难以获得,不易于工程实现.根据相电流平方之和与转子位置角所表现出的特殊关系,提出了基于电流-位置神经网络模型的相电流平方之和计算方法,直接由转子位置角计算相电流平方之和,再通过分配函数得到参考相电流.仿真结果表明,该方案能有效降低开关磁阻电动机转矩脉动.“,”The conventional control method based on the torque sharing function (TSF) is difficult to apply to engineering,because the reference phase currents are obtained from the complex torque-current relationship.According to the special relationship between the sum of phase currents square and the rotor position angle,a sum of phase currents square calculation method based on current-position neural network model was proposed.The sum of phase currents square was calculated from the rotor position angle directly,then reference phase currents were obtained by the sharing function.The simulation results verify that the proposed control strategy can reduce SRM torque ripple effectively.