矢量集优化的永磁同步电机转矩预测控制方法

Torque prediction control method of permanent magnet synchronous motor based on vector set optimization

传统三相永磁同步电机有限状态集模型预测控制(Finite Control Set Model Predictive Control,FCS-MPC)采用枚举法遍历所有基本电压矢量,选择最优电压矢量,用以预测下一时刻的转矩和磁链,运算量较大,限制了其实时性。针对以上问题,提出一种优化的模型预测转矩控制算法,该算法由磁链和转矩误差估算期望电压矢量,基于期望电压矢量的位置选择候选电压矢量,减少候选电压矢量的数量,从而提高了算法的实时性,并在Matlab环境下对所提优化算法进行了仿真实验。实验结果表明,该算法与传统FCS-MPC算法相比,系统具有良好控制性能的,同时将运算时间减少了42%,便于工程实现。

The traditional finite control set model predictive control of three-phase permanent magnet synchronous motor(FCS-MPC)adopts the enumeration method to calculate all basic voltage vectors and select the optimal voltage vector to predict the torque and flux at the next moment,causing large amount of calculation and limiting its responding speed.In order to solve these problems,an optimized model predictive torque control algorithm is proposed in this paper.Firstly,the algorithm estimates the expected voltage vector by the value deviation of flux and torque.Secondly,the system selects the candidate voltage vector based on the position of the desired voltage vector to reduce the number of candidate voltage vectors,thus improving the real-time performance of the algorithm.The simulation experiment of the proposed optimization algorithm is carried out in Matlab algorithm has good control performance and reduces the computation time by 42%and is easy for engineering realization.