Extended-State-Observer-Based Model Predictive Power Control for Three-Level NPC Rectifiers with Inductance Estimation

Yu, Chenhui; Wang, Fengxiang; IEEE

Abstract

In the classical model predictive control strategy, parameter variation will affect the system performance. In this paper, an extended-state-observer-based model predictive power control (ESOB-MPPC) strategy for three-level neutral point clamped (NPC) rectifiers is presented. Firstly, the system model is designed by taking into consideration the system uncertainties and the external disturbance. Secondly, inductance is estimated by forgetting factor recursive least squares (FFRLS) algorithm for the enhanced parameter robustness. Simulation results verify that the proposed method has good dynamic performance and parameter robustness.

Más información

Título según WOS: Extended-State-Observer-Based Model Predictive Power Control for Three-Level NPC Rectifiers with Inductance Estimation
Título de la Revista: 2020 IEEE 9TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (IPEMC2020-ECCE ASIA)
Editorial: IEEE
Fecha de publicación: 2020
Página de inicio: 2622
Página final: 2626
DOI:

10.1109/IPEMC-ECCEAsia48364.2020.9368149

Notas: ISI