基于全阶状态滑模观测器的永磁同步电机模型预测电流控制策略

传统模型预测控制(MPC)需要对永磁同步电机(PMSM)的所有电压矢量进行动态预测,存在计算量大,计算周期长的问题。因此,提出一种改进型模型预测电流控制(MPCC)方案,该方案采用一种缩减电压矢量选择的方式,降低了算法的冗余度和计算量,提高了控制效率。在此基础上,采用全阶滑模观测器对PMSM的转子位置和转速进行精准估测,在设计全阶滑模观测器的过程中,将模糊控制的思想融入传统滑模观测器中,有效解决了转子位置和转速在观测过程中存在抖振的问题。最后,通过仿真验证了该方案的正确性和实用性。

Model Predictive Current Control Strategy of PMSM Based on Full-Order State Sliding Mode Observer

The traditional model predictive control (MPC) needs to dynamically predict all voltage vectors of permanent magnet synchronous motor (PMSM), which has the problems of large calculation and long calculation period. Therefore, an advanced model predictive current control (MPCC) is proposed. The strategy could reduce the voltage vector selection, reduce the redundancy of the algorithm calculation, and improve the control efficiency. On this basis, the full-order sliding mode observer is used to accurately estimate the rotor position and speed of the PMSM. In the designing process of the full-order sliding mode observer, the idea of fuzzy control is integrated into the traditional sliding mode observer. The improved sliding mode observer could effectively solve the chattering problem of rotor position and speed during observation. Finally, the simulation verifies the correctness and practicability of the proposed strategy.