有限集模型预测控制在电力电子系统中的研究现状和发展趋势

介绍电力电子系统有限控制集模型预测控制(FCS-MPC)方法的基本原理,根据模型预测控制三要素分析了FCS-MPC在实际应用中存在的不足,指出在后期研究中亟待解决的问题,并就其控制器结构、动态性能和稳态性能等方面与传统滞环控制和线性控制进行比较与分析。从FCS-MPC模型失配、目标函数设定、开关频率不固定、运算量大和控制性能改善等几个方面综述了中外学者针对这些热点的研究现状,并进行了简要分析,讨论并提出相关研究思路。根据FCS-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。

Research Status and Development Trend of Finite Control Set Model Predictive Control in Power Electronics

This paper has described the basic principle of finite control set model predictive control (FCS-MPC) in power electronics, analyzed and generalized the problems for practical application based on three basic elements, and compared controller structure, dynamic performance and steady performance with the conventional control methods. The research status at home and abroad on FCS-MPC is summarized from these aspects: model mismatch, cost function design, inconstant switch frequency, heavy computation, and so on. Finally, some new ideas, the outlook and new trends for further research are put forward.