永磁同步电机模型预测控制的现状与发展

Current situation and prospect of model predictive control of permanent magnet synchronous motor

模型预测控制是一种优化控制算法,近年来已经成为电机控制领域研究的热点。模型预测控制根据过去和现在的信息,对系统的状态量进行预测,并综合考虑控制对象的预期值和控制量的变化等评价指标,得到最优的控制量。该文综述了基于线性模型预测的永磁同步电机的直接转矩控制、矢量控制、直接电流控制、混合控制等算法的特点,以及基于非线性模型预测的永磁同步电机控制的研究现状,阐述了模型预测控制理论与应用方面有待进一步研究的几个主要问题。

Model predictive control is a typical optimal control algorithm, which has become a hot research topic in the field of motor control in recent years.Based on current and past information, MPC can obtain optimal control quality by predicting the state quality of system and comprehensively considering the expected values of control objects and vary of control quality.In this paper, the features of algorithms of direct torque control, vector control, direct current control and hybrid control etc.of permanent magnet synchronous motor based on the linear model prediction are stated, and current situation of control of permanent magnet synchronous motor based on nonlinear model prediction is also reviewed.Several main issues to be studied further in terms of model prediction control theory and application are summarized.