鼠笼式感应电机模型预测直接转矩控制

Model Predictive Direct Torque Control of Squirrel Cage Induction Motor

针对传统鼠笼式感应电机直接转矩控制转矩和定子磁链脉动大的问题,研究了一种考虑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,预测出在每个电压矢量下的下一时刻的定子磁链和转矩,与定子磁链参考值和转矩参考值的偏差作为目标函数,选择使目标函数最小的最优电压矢量。针对数字控制系统存在一拍延迟的问题,研究了一种多步预测的延迟补偿措施。仿真表明,该算法能够有效降低转矩和定子磁链脉动,减小电流谐波畸变,并解决了数字系统中存在的延迟问题。

To reduce the large torque and stator flux linkage ripple of the traditional squirrel cage induction motor on direct torque control (DTC),an improved model prediction direct torque control algorithm (MPDTC) considering delay compensation is studied. At each sampling instant,the stator flux linkage and torque at the next moment under each voltage vector are predicted,and the deviation from the stator flux linkage reference value and the torque reference value is used as the objective function,and the optimal voltage vector that minimizes the objective function is selected. Aiming at the problem of one-shot delay in digital control systems,a multi-step prediction delay compensation measure is studied. The simulation shows that the algorithm can effectively reduce the torque and stator flux pulsation,reduce the current harmonic distortion,and solve the delay problem in the digital system.