TY - GEN
T1 - Event-Triggered Model Predictive Control for A Three-Phase Inverter with Output LC Filter
AU - Wang, Benfei
AU - Huang, Jingjing
AU - Rodriguez, Jose
AU - Garcia, Cristian
AU - Feng, Guodong
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/11/9
Y1 - 2020/11/9
N2 - This paper proposes an event-triggered model predictive control (ET-MPC) method for the three-phase inverter with output LC filter. The proposed method is developed by combining the conventional finite-control-set MPC (FCS-MPC) method and the ET control strategy. The ET control strategy incorporates a preset triggering condition based on the requirement of the regulation performance for the three-phase inverter. When the state of the three-phase inverter activates the triggering condition, FCS-MPC is triggered with the updated state so that the optimal control actions can be generated when it is necessary. If the state of the inverter is within the preset triggering condition, FCS-MPC is suspended and the control actions are held as constant. Consequently, the unnecessary online prediction, online optimization, and the corresponding control actions can be avoided. Therefore, with the tolerate regulation performance, the proposed ET-MPC can reduce the computational burden of the conventional FCS-MPC. The various simulation studies of the three-phase inverter are conducted and discussed to demonstrate the effectiveness of the proposed ET-MPC method.
AB - This paper proposes an event-triggered model predictive control (ET-MPC) method for the three-phase inverter with output LC filter. The proposed method is developed by combining the conventional finite-control-set MPC (FCS-MPC) method and the ET control strategy. The ET control strategy incorporates a preset triggering condition based on the requirement of the regulation performance for the three-phase inverter. When the state of the three-phase inverter activates the triggering condition, FCS-MPC is triggered with the updated state so that the optimal control actions can be generated when it is necessary. If the state of the inverter is within the preset triggering condition, FCS-MPC is suspended and the control actions are held as constant. Consequently, the unnecessary online prediction, online optimization, and the corresponding control actions can be avoided. Therefore, with the tolerate regulation performance, the proposed ET-MPC can reduce the computational burden of the conventional FCS-MPC. The various simulation studies of the three-phase inverter are conducted and discussed to demonstrate the effectiveness of the proposed ET-MPC method.
KW - computational burden
KW - Event-triggered control
KW - inverter
KW - model predictive control
UR - http://www.scopus.com/inward/record.url?scp=85097528398&partnerID=8YFLogxK
U2 - 10.1109/ICIEA48937.2020.9248328
DO - 10.1109/ICIEA48937.2020.9248328
M3 - Conference contribution
AN - SCOPUS:85097528398
T3 - Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020
SP - 1259
EP - 1263
BT - Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020
Y2 - 9 November 2020 through 13 November 2020
ER -
