Model Predictive Control for Power Converters and Drives: Advances and Trends

被引：1344

作者：

Vazquez, Sergio ^{[1
]}

Rodriguez, Jose ^{[2
]}

Rivera, Marco ^{[3
]}

Franquelo, Leopoldo G. ^{[1
,4
]}

Norambuena, Margarita ^{[2
]}

机构：

[1] Univ Seville, Dept Elect Engn, Seville 41092, Spain

[2] Univ Andres Bello, Santiago 7500973, Chile

[3] Univ Talca, Dept Elect Engn, Curico 3341717, Chile

[4] Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150001, Peoples R China

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2017年 / 64卷 / 02期

关键词：

AC-DC power conversion; dc-ac power conversion; power electronics; predictive control; DIRECT TORQUE CONTROL; IMPOSED SINUSOIDAL SOURCE; MATRIX CONVERTER; CONTROL STRATEGY; CONTROL SCHEME; VOLTAGE CONTROL; NPC CONVERTERS; INVERTER; PERFORMANCE; FILTER;

D O I：

10.1109/TIE.2016.2625238

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Model predictive control (MPC) is a very attractive solution for controlling power electronic converters. The aim of this paper is to present and discuss the latest developments in MPC for power converters and drives, describing the current state of this control strategy and analyzing the new trends and challenges it presents when applied to power electronic systems. The paper revisits the operating principle of MPC and identifies three key elements in the MPC strategies, namely the prediction model, the cost function, and the optimization algorithm. This paper summarizes the most recent research concerning these elements, providing details about the different solutions proposed by the academic and industrial communities.

引用

页码：935 / 947

页数：13

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