Dynamic Performance Improvement of Continuous Control Set Model Predictive Control for High-Frequency Link Matrix Converter

In this article, a comprehensive control strategy of a high-frequency link matrix converter (HFLMC) based on the interaction technology between electric vehicle and power grid is proposed to improve the dynamic performance of the system. The continuous control set model predictive control (CCS-MPC)...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2023-09, Vol.70 (9), p.9057-9066
Main Authors: Ren, Biying, Zhu, Yixi, Sun, Xiangdong, Pan, Zhongmei, Zhao, Wanyue
Format: Article
Language:English
Subjects:
Continuous control set model predictive control (CCS-MPC)
Cost function
Deviation
dynamic performance
Dynamic response
Electric vehicles
high-frequency link matrix converter (HFLMC)
Inductance
Matrix converters
Modulation
Phase modulation
Predictive control
Pulse duration
Tracking
Voltage control
weight factors
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Summary:In this article, a comprehensive control strategy of a high-frequency link matrix converter (HFLMC) based on the interaction technology between electric vehicle and power grid is proposed to improve the dynamic performance of the system. The continuous control set model predictive control (CCS-MPC) is applied to the current loop to solve the problems of difficult selection of PI control parameters and slow dynamic response speed. In order to ensure that the grid-connected current can achieve better command tracking, a deviation suppression term is introduced into the cost function of CCS-MPC, and the online auto tuning method of weight factors of fast-tracking term and deviation suppression term is designed. On this basis, the pulsewidth modulation signals are generated by the coordinated modulation strategy of the HFLMC to obtain a constant switching frequency, which makes the harmonic of the grid-connected current easier to be filtered out. Experimental results show the correctness and feasibility of the proposed control strategy.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2022.3215447