基于模型预测锁相环的永磁同步电机转子位置估计方法

Research on sensorless control of permanent magnet synchronous motor based on model predictive method based phase locked loop

针对传统锁相环(PLL)估计永磁同步电机转子位置存在响应速度慢及跟踪精度低的问题,提出一种基于模型预测锁相环的转子位置估计方法。首先,对永磁同步电机模型预测控制原理进行分析,将传统模型预测控制方法与锁相环结合,提出一种模型预测锁相环(MP-PLL)结构;然后,结合离散位置搜索算法对转子位置进行估计,通过高效优化离散位置搜索算法改善模型预测锁相环在宽转速范围内的性能,提高其鲁棒性和转子位置估计精度;最后,进行仿真和实验验证。结果表明,在永磁同步电机参数变化情况下,所提出的模型预测锁相环比传统锁相环具有更好的响应性能,能快速准确地实现永磁同步电机转子位置估计。

Considering the problems of slow response speed and low tracking accuracy in estimating the rotor position of permanent magnet synchronous motor(PMSM)using traditional phase locked loop(PLL),a rotor position estimation method based on model prediction-PLL(MP-PLL)is proposed.First,the principle of PMSM model predictive control is analyzed.The traditional model predictive control method is combined with PLL,and an MP-PLL structure is proposed.On this basis,the rotor position is estimated by combining the discrete position search algorithm,and the discrete position search is efficiently optimized,which greatly improves the performance of MP-PLL in a wide speed range,improving its robustness and rotor position estimation accuracy.Finally,simulation and experimental verification are performed,and the results show that the proposed MP-PLL has better response performance than the traditional PLL under changes in PMSM parameters and can estimate the rotor position quickly and accurately.