Event-Triggered Model Predictive Control for A Three-Phase Inverter with Output LC Filter

IEEE

Abstract

This paper proposes an event-triggered model predictive control (ET-MPC) method for the three-phase inserter 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-WPC. The various simulation studies of the three-phase inverter are conducted and discussed to demonstrate the effectiveness of the proposed ET-MPC method.

Más información

Título según WOS: Event-Triggered Model Predictive Control for A Three-Phase Inverter with Output LC Filter
Título de la Revista: PROCEEDINGS OF THE 15TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2020)
Editorial: IEEE
Fecha de publicación: 2020
Página de inicio: 1259
Página final: 1263
DOI:

10.1109/iciea48937.2020.9248328

Notas: ISI