Model-based Predictive Control in Three-Phase Inverters

被引：5
|
作者：
Enrique Perez-Guzman, Ricardo [1 ]
Rivera, Marco [1 ]
Vicencio, Nicolas [1 ]
Wheeler, Patrick W. [2 ]
机构：
[1] Univ Talca, Fac Ingn, Curico, Chile
[2] 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：
Model predictive control (MPG); three-phase inverters; variable switching frequency; fixed switching frequency;
D O I：
10.1109/ICIT45562.2020.9067217
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：
In the last year model predictive control strategy has emerged as a good alternative for the control of power converters. This research proposes a new model -based predictive control strategy for a voltage source inverter, operating at variable and fixed switching frequency, with the objective of comparing the performance of the control algorithm and the output variables. The experimental results show the benefits of predictive control and the superiority of fixed frequency control strategies instead of the variable switching frequency. Based on the total harmonic distortion (THD) and the absolute error, we can prove that better results are obtained by forcing the converter to commutate at fixed frequency.
引用
收藏
页码：499 / 504
页数：6
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