交流电机模型预测控制策略发展概述

Development of AC Motor Model Predictive Control Strategy:An Overview

模型预测控制(model predictive control,MPC)早在20世纪80年代早期就已被提出,但由于当时控制器的硬件限制,未能引起重视。近年,随着微处理器运算性能的不断提升,模型预测控制逐渐引起广大学者的关注。由于具有滚动优化、反馈校正等诸多优点,模型预测控制已成为电力电子领域的研究热点,并在实际应用中得到不断发展和完善。该文回顾了模型测控制的发展历程,总结近年来关于权重系数设计、无速度传感器控制、过调制与弱磁控制技术以及图形边界限定策略等方面的研究成果,分析各类方法的特点;对模型预测控制未来的研究方向进行了展望。

Model predictive control(MPC) has been proposed as early as the 1980 s, but due to the hardware limitations of the controller at that time, it failed to attract attention. In recent years, with the continuous improvement of microprocessor performance, model predictive control has gradually attracted the attention of scholars. Because of the advantages of rolling optimization and feedback correction, MPC has become a research hotspot in the field of power electronics, and has been continuously developed in practical application. This paper reviews the development of model predictive control, summarizes the research results in recent years on weight coefficient design, speed sensorless control, overmodulation and weak magnetic control technology, improving robustness and the strategy of graph boundary restriction in recent years, analyzes the characteristics of various methods, and looks forward to the future research direction of model predictive control.