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感应电机预测控制改进算法 被引量:55

Improved predictive control algorithm for induction motors
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摘要 针对反电势电机模型计算电流矢量导数时进行微分运算造成系统内部高频噪声放大的问题,提出一种感应电机预测控制改进算法。使用转子磁场坐标系下的电机模型代替反电势电机模型,进而在计算电流矢量的导数的过程中避免了微分运算,在计算过程中不会对系统内的高频噪声造成放大,减小了预测控制算法在选择最优开关状态时出错的几率,进而提高了系统的鲁棒性,使预测控制算法的控制性能得到进一步的提高。仿真结果验证了改进方法的可行性,同时对比原方法和改进方法的仿真结果可以发现在同样的条件下改进方法能够更好的抑制电流畸变,降低转矩波动。 In order to reduce the high frequency noise caused by differential calculation,an improved predictive control algorithm is proposed.Back-electromotive force(EMF) based machine model was substituted by the rotor-field coordinate machine model,in which the differential calculation was avoided.Hence,the high-frequency noise was not enlarged through the following operation and error probability was also decreased when the optimal switching state was selected.The roubustness of drive system was also enhanced by the improved algorithm.Simulation results show that improved algorithm obtains lower current distorion and less torque distorion.
出处 《电机与控制学报》 EI CSCD 北大核心 2013年第3期62-69,共8页 Electric Machines and Control
基金 中央高校基本科研业务费专项资金(FRF-TP-12-059A) 国家自然科学基金(51276016)
关键词 感应电机 预测控制 开关策略 逆变器 仿真 induction motors predictive control switching strategy inverter simulation
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参考文献13

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