Model Predictive Current Control with Low Complexity for Single-phase Four-Level Hybrid-Clamped Converters

Yong Yang, Jianyu Pan, Huiqing Wen, Mingdi Fan, Rong Chen, Liqun He, Menxi Xie, Margarita Norambuena, Longya Xu, Jose Rodriguez

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a simplified model predictive control (MPC) method for single-phase four-level hybrid-clamped converters (1P-4L-HCCs), achieving high-quality current control and strong capacitor voltage balancing. Different from a conventional MPC, the proposed method aims to dramatically reduce switching states (control voltage vectors) in the cost function optimization of MPC. It utilizes only 16 switching states, compared to 64 in conventional methods, resulting in reduced execution time and significantly increased control bandwidth. Steady-state and dynamic performance are evaluated by simulated and experimental test, and main results are provided to verify the effectiveness of the proposed MPC method.

Original languageEnglish
JournalIEEE Transactions on Transportation Electrification
DOIs
Publication statusAccepted/In press - 2021

Keywords

  • 1P-4L-HCC
  • model predictive control
  • multilevel converters

ASJC Scopus subject areas

  • Automotive Engineering
  • Transportation
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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