An Optimized Model Predictive Control for Three-Phase Four-Level Hybrid-Clamped Converters

Yong Yang, Jianyu Pan*, Huiqing Wen, Risha Na, Hongyu Wang, Zhiwei Zhang, Ziwei Ke, Longya Xu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)

Abstract

An optimized model predictive control (MPC) method is proposed based on the selected switching states to control the four-level hybrid-clamped converter. The proposed method utilizes 64, instead of 512, switching states, compared with a conventional MPC, which greatly eases the calculation burden while achieving the high-quality regulation of output currents and the balance of capacitor voltages. The steady-state performance at both high and low frequencies is investigated, and results are compared with those by the traditional carrier phase-shifted pulsewidth modulation method. The dynamic response to the current or frequency step change is also evaluated. Both simulation and experimental results validate the feasibility and effectiveness of the optimized MPC method.

Original languageEnglish
Article number8889681
Pages (from-to)6470-6481
Number of pages12
JournalIEEE Transactions on Power Electronics
Volume35
Issue number6
DOIs
Publication statusPublished - Jun 2020

Keywords

  • Balance of capacitor voltages
  • calculation burden
  • four-level hybrid-clamped converter (4L-HCC)
  • model predictive control (MPC)

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