Model predictive control of five-level H-bridge neutral-point-clamped qZS inverter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

This paper presents a model predictive control (MPC) of five-level H-bridge neutral-point-clamped (NPC) quasi-impedance source inverter (qZSI). The proposed control technique is designed to handle three control objectives with simple and effective approach. The output current, the input current and the capacitor voltage are the control objectives of the proposed MPC algorithm. To fulfill these control objectives, multi-objective based cost function is employed. Furthermore, qZSI has been combined with the 5-Level H-bridge NPC inverter so as to obtain power converter topology with buck/boost and dc/ac conversion functionality in a single stage for high power PV applications. Simulation results verify the proposed multi-objective MPC algorithm and inverter topology.

Original languageEnglish
Title of host publicationProceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
PublisherIEEE Computer Society
Pages5971-5976
Number of pages6
ISBN (Electronic)9781509034741
DOIs
Publication statusPublished - 21 Dec 2016
Event42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy
Duration: 24 Oct 201627 Oct 2016

Other

Other42nd Conference of the Industrial Electronics Society, IECON 2016
CountryItaly
CityFlorence
Period24/10/1627/10/16

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Keywords

  • DC-AC power conversion
  • H-bridge inverter
  • Model predictive control
  • Neutral-point-clamped multilevel inverter
  • Quasi-Z source inverter

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Bayhan, S., Kakosimos, P., Abu-Rub, H., & Rodriguez, J. (2016). Model predictive control of five-level H-bridge neutral-point-clamped qZS inverter. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society (pp. 5971-5976). [7793689] IEEE Computer Society. https://doi.org/10.1109/IECON.2016.7793689