The Selection of Cost Functions in Model Predictive Control Applications

被引：0

作者：

Rivera, Marco ^{[1
]}

Rojas, Diego ^{[1
]}

Wheeler, Patrick ^{[2
]}

机构：

[1] Univ Talca, Fac Engn, Curico, Chile

[2] Univ Nottingham, Fac Engn, Nottingham, England

来源：

2021 21ST INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS (EE 2021) | 2021年

关键词：

Cost function; model predictive control; predictive current control; voltage source inverter;

D O I：

10.1109/Ee53374.2021.9628336

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In model predictive control strategies, the cost function selection is the most relevant aspects to obtain a good performance of the full system. In this paper a study of the most common cost functions used for the control of two level voltage source inverters is presented. The paper compares several cost function alternatives that could be considered for different power electronic converter applications. The results show that Model Predictive Control is a suitable alternative for the implementation of different control objectives in power converters.

引用

页数：6

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