TY - JOUR
T1 - Event-Triggered Model Predictive Control for Power Converters
AU - Wang, Benfei
AU - Huang, Jingjing
AU - Wen, Changyun
AU - Rodriguez, Jose
AU - Garcia, Cristian
AU - Gooi, Hoay Beng
AU - Zeng, Zheng
N1 - Funding Information:
Manuscript received April 17, 2019; revised August 14, 2019 and October 27, 2019; accepted November 25, 2019. Date of publication January 1, 2020; date of current version October 19, 2020. This work was supported in part by the National Key R&D Program of China under Grant 2019YFB1704702 and in part by Fundamental Research Funds for the Central Universities (19LGJC14), CONICYT through Project FB0008 and Project 1170167, and CONICYT/FONDECYT Initiation Research Project 11180235. (Corresponding author: Jingjing Huang.) B. Wang is with the School of Intelligent Systems Engineering, Sun Yat-Sen University, Guangzhou 510275, China (e-mail: wangbf8@mail. sysu.edu.cn).
Publisher Copyright:
© 1982-2012 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2021/1
Y1 - 2021/1
N2 - In this letter, an event-triggered model predictive control (ET-MPC) method for power converters is presented. In the proposed method, the model predictive control (MPC) scheme is triggered only when the state of the converter exceeds a preset threshold; otherwise, the MPC scheme is suspended and the control signal is held as constant. Therefore, compared with the conventional MPC with finite control set (FCS-MPC), the ET-MPC method has the advantages of less computational burden and less switching actions, which contribute to lower switching losses, while ensuring satisfactory regulation performance. A buck converter prototype is adopted to validate the performance of ET-MPC. The results from the comparison with FCS-MPC demonstrate the effectiveness of the proposed ET-MPC method.
AB - In this letter, an event-triggered model predictive control (ET-MPC) method for power converters is presented. In the proposed method, the model predictive control (MPC) scheme is triggered only when the state of the converter exceeds a preset threshold; otherwise, the MPC scheme is suspended and the control signal is held as constant. Therefore, compared with the conventional MPC with finite control set (FCS-MPC), the ET-MPC method has the advantages of less computational burden and less switching actions, which contribute to lower switching losses, while ensuring satisfactory regulation performance. A buck converter prototype is adopted to validate the performance of ET-MPC. The results from the comparison with FCS-MPC demonstrate the effectiveness of the proposed ET-MPC method.
KW - Computational requirement
KW - event-triggered (ET) control
KW - model predictive control (MPC)
KW - switching loss
UR - http://www.scopus.com/inward/record.url?scp=85091562735&partnerID=8YFLogxK
U2 - 10.1109/TIE.2019.2962489
DO - 10.1109/TIE.2019.2962489
M3 - Article
AN - SCOPUS:85091562735
SN - 0278-0046
VL - 68
SP - 715
EP - 720
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
IS - 1
M1 - 8948314
ER -