模型预测永磁同步电机直接转矩控制系统

Direct Torque Control System of PMSM Based on Model Predictive Control

为抑制转矩脉动,提出了一种新型模型预测永磁同步电机直接转矩控制方法。建立永磁同步电机的实际模型和参考模型的状态方程,根据它们的误差向量反向推导控制率,进而预测出定子磁链和电磁转矩值,并利用李雅普诺夫稳定性原理证明了系统的稳定性。通过专门设计的评价函数,求解最优化问题来选择输入电压矢量,使定子磁链和电磁转矩误差达到最小。在Matlab/Simulink环境下建立模型进行仿真,结果表明该种方法使转速和转矩波形得到明显改善,具有良好的动静态控制性能。

In order to suppress torque ripple, a new model predictive direct torque control method for permanent magnet synchronous motor(PMSM) is proposed.The actual model and the reference model equations of permanent magnet synchronous motor are established. The control rate is derived reversely with the error vector, and then the stator flux and torque values are predicted. The stability of the system is proved by using Lyapunov stability theorem. Through the specifically designed evaluation function, the optimal input voltage vector is selected and the stator flux and torque errors are kept to a minimum. The simulation experiment is carried out in the Matlab/Simulink simulation environment, the results show that the method can reduce the speed and torque fluctuations obviously and has a better dynamic and static control performance.