低复杂度永磁同步电机双矢量模型预测控制策略OACSTPCD

In order to solve the problems of large computation and current fluctuations in the model predictive current control of permanent magnet synchronous motor,a low complexity dual vector model predictive voltage control strategy is proposed.This method predicts and evaluates three non-adjacent effective voltage vectors only through cost functions,and two adjacent optimal effective voltage vectors can be determined accurately and quickly based on the relationship between the values of three cost functions,without traversing all the voltage vectors.The optimal and effective voltage vector selection can reduce the prediction calculation,and the dq axis voltage difference action time calculation method is introduced to calculate the optimal effective voltage vector action time in order to reduce the calculation.The simulation results show that compared to the duty cycle strategy and the traditional dual vector model predictive current control strategy,the proposed control strategy can effectively reduce the computational complexity and current fluctuation and improve the torque ripple on the basis of ensuring the steady-state and dynamic performance of the system.