Recent Advances of Predictive Control in Power Converters

被引：17

作者：

Enrique Perez-Guzman, Ricardo ^{[1
]}

Rivera, Marco ^{[2
]}

Wheeler, Patrick W. ^{[3
]}

机构：

[1] Univ Talca, Dept Ciencias Comp, Curico, Chile

[2] Univ Talca, Fac Ingn, Curico, Chile

[3] Univ Nottingham, Dept Elect & Elect Engn, Nottingham NG7 2RD, England

来源：

2020 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT) | 2020年

关键词：

power converters; model predictive control; power electronics; MPC; PERFORMANCE;

D O I：

10.1109/ICIT45562.2020.9067169

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Model-based predictive control (MPC) is an attractive solution for controlling power converters and drives. This research shows the most recent alternatives of predictive control techniques proposed in the literature to solve control problems in power converters. The current trends and future projections for these control strategies, as well as the most used models, topologies, or variables in different scenarios are shown. This allowed us to compare the main strategies, their pros and cons, including some application examples. Predictive control has several advantages that make it suitable for the control of power converters and drives.

引用

页码：1100 / 1105

页数：6

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