Squirrel Cage Induction Motor Predictive Direct Torque Control based on multi-step delay compensation

Najimaldin M. Abbas
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Abstract

The squirrel cage induction motor direct torque control main problems due to torque and large stator flux pulsation. In this an improved model predictive direct torque control algorithm considering multi-step delay compensation is proposed. At each sampling moment, predict the stator flux linkage and torque at the next moment under each voltage vector. The optimal voltage vector deviation from the stator flux linkage reference value and torque reference value are selected as the minimum objective function. Aiming at the problem of one-shot delay in digital control systems, a multi-step predictive delay compensation measure is studied. Simulation shows that the algorithm can effectively reduce torque and stator flux pulsation, reduce current harmonic distortion, and solve the delay problem in digital systems.
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基于多步延迟补偿的鼠笼式异步电动机预测直接转矩控制
鼠笼式异步电动机直接转矩控制的主要问题是由于转矩和定子磁链脉动大。提出了一种考虑多步延迟补偿的改进模型预测直接转矩控制算法。在每个采样时刻,预测每个电压矢量下下一时刻的定子磁链和转矩。选取最优电压矢量偏离定子磁链参考值和转矩参考值作为最小目标函数。针对数字控制系统中一次延迟问题,研究了一种多步预测延迟补偿方法。仿真结果表明,该算法能有效地减小转矩和定子磁链脉动,降低电流谐波畸变,解决数字系统中的时延问题。
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