Dynamic Event-Triggered Model Predictive Control for Vienna Rectifier

被引：0
|
作者：
Zhou, Yunhong [1 ]
Zhang, Aimin [1 ]
Huang, Jingjing [1 ]
Du, Yudong [1 ]
Zhang, Lei [2 ]
机构：
[1] School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an,710049, China
[2] School of Electronic Information, Xi'an Polytechnic University, Xi'an,710049, China
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2022年 / 37卷 / 08期
关键词：
Rectifying circuits - Predictive control systems;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A dynamic event-triggered model predictive control (DET-MPC) strategy is proposed for the Vienna rectifier in the DC charging system. In the proposed method, the MPC scheme is carried out only when the event-triggered condition of the system is met. Otherwise, the switch state signal is held to reduce the calculation burden. Meanwhile, a dynamic function is introduced into the event-triggered condition to guarantee the steady-state performance of the system. Compared with the conventional finite control set model predictive control, the DET-MPC has advantages of less computational burden and less switching losses, while ensuring satisfactory regulation performance. The experimental results in the three-phase Vienna rectifier from the comparison with FCS-MPC demonstrate the effectiveness of the proposed DET-MPC method. © 2022, Electrical Technology Press Co. Ltd. All right reserved.
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收藏
页码：2040 / 2050
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