模型预测控制在永磁同步电机系统中的应用发展综述

Application and Development of Model Predictive Control in Permanent Magnet Synchronous Motor System

随着数字技术的发展,模型预测控制(MPC)已经广泛应用于交流传动系统。首先介绍了经典MPC策略——有限控制集MPC和连续控制集MPC的原理。其次综述了多步预测控制、多矢量预测控制、具有参数鲁棒性的预测控制、广义模型预测、显式模型预测这些常见的改进MPC的研究现状,并提出相关研究思路。最后,根据MPC的应用需求和研究现状,展望了未来需要进一步深入和拓展的研究方向。

With the development of digital technology,the model predictive control(MPC)has been widely used in AC drive systems.Firstly,the principles of classical MPC strategies including finite control set MPC strategy and continuous control set MPC strategy were described.Secondly,the research status of the common improved MPC was summarized,such as multi-step predictive control,multi-vector predictive control,predictive control with parameter robustness,generalized model prediction and explicit model prediction,and the relevant research ideas were put forward.Finally,according to the application requirements and research status of MPC,the future research directions that needed to be further deepened and expanded were prospected.