基于最小二乘法的永磁同步电机多步预测控制

Multi-step predictive control of permanent magnet synchronous motor based on least squares method

有限控制集模型预测控制,因其处理系统约束和处理多变量的能力而受到广泛关注。传统的永磁同步电机通过一步预测控制虽然可以得到很好的控制效果,但是在一步预测控制方式下得到的电流与转速波动较大精确度较低。针对该问题,提出一种基于最小二乘法的永磁同步电机多步预测控制方法,将控制算法转变成一个最小二乘问题,以此来进行多步预测。通过仿真验证了所提出的多步预测控制方法与传统的一步预测控制方法相比,转速与电流的控制效果得到极大的改进。实验证明,在三步预测时转速波动减少了40%,同时电流控制效果得到了44%的提升。

The finite control set model predictive control(FCS-MPC)has received widespread attention for its ability to handle system constraints and handle multivariate.Although the conventional permanent magnet synchronous motor(PMSM)can obtain good control effect through one-step predictive control,the current and speed fluctuation obtained in the one-step predictive control mode is relatively less accurate.Aiming at this problem,a multi-step predictive control method for PMSM based on least squares method is proposed.The control algorithm is transformed into a least squares problem to make multi-step prediction.Simulation results show that compared with the traditional one-step predictive control method,the proposed multi-step predictive control method has greatly improved the speed and current control effect.Experiments show that the speed fluctuation is reduced by 40%in the three-step prediction,and the current control effect is improved by 44%.