Computationally Efficient FCS-MPC for Single-Phase Five-Level ANPC Inverter

Ibrahim Harbi, Mohamed Abdelrahem, Mahmoud Aref, Mostafa Ahmed, Ralph Kennel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An efficient model predictive control (MPC) method with a low computational load is presented in this paper for five-level active neutral point clamped (5L-ANPC) converter. Three control objectives are considered in the developed control algorithm; current control, flying capacitor (FC) control and dc-link balancing. The proposed FCS-MPC method avoids the heavy calculation load required for the current prediction by exploiting the concept of the dead-beat predictive control method. Furthermore, the cost function evaluations per control sample are significantly reduced compared to traditional FCS-MPC. As a consequence, the execution time is considerably reduced. The validation of the proposed method in transient- and steady-state is verified by the experimental implementation. The performance is compared with the conventional FCS-MPC method.

Original languageEnglish
Title of host publication22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages643-647
Number of pages5
ISBN (Electronic)9781665419987
DOIs
StatePublished - 2021
Event22nd International Middle East Power Systems Conference, MEPCON 2021 - Assiut, Egypt
Duration: 14 Dec 202116 Dec 2021

Publication series

Name22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings

Conference

Conference22nd International Middle East Power Systems Conference, MEPCON 2021
Country/TerritoryEgypt
CityAssiut
Period14/12/2116/12/21

Keywords

  • 5L-ANPC
  • Computational burden
  • Current control
  • FC control
  • Model predictive control

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