A Model Predictive Control Strategy for the VFAC Generation System of More Electric Aircraft

Zixuan Guo, Dongpo Deng, Liqiang Lan, Weilin Li

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

1 Scopus citations

Abstract

With the continuous improvement of more electric aircraft (MEA) performance, the power demand of aircraft systems will continue to grow exponentially. The Variable Frequency Alternating Current (VFAC) power generation system, as one of the large capacity power supply systems in MEA, has the advantages of high reliability, high efficiency, and high power density. However, due to the complex system parameters of the VFAC system, the traditional Proportion Integral Differential (PID) control algorithms are difficult to meet the dynamic requirements of its internal three-stage power generation system. This paper focuses on the high-voltage Direct Current (DC) power supply system of MEA, taking the DC output of the aviation three-stage brushless synchronous generator after rectification as the control object. A voltage regulation control algorithm based on the finite-control-set model predictive control (FCS-MPC) is proposed. A digital model of the voltage regulation system is established, and the adaptability of the FCS-MPC algorithm in the three-stage power generation system is verified through simulation tests with load variations, which can effectively improve the stability and regulation performance of the generation system, providing an alternative design solution for the Generator Control Unit (GCU) used in the VFAC power system.

Original languageEnglish
Title of host publicationIECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
ISBN (Electronic)9798350331820
DOIs
StatePublished - 2023
Event49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, Singapore
Duration: 16 Oct 202319 Oct 2023

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
ISSN (Print)2162-4704
ISSN (Electronic)2577-1647

Conference

Conference49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
Country/TerritorySingapore
CitySingapore
Period16/10/2319/10/23

Keywords

  • finite-control-set model predictive control
  • three-stage power generation system
  • voltage regulation control algorithm

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