AN ADAPTIVE DROOP CONTROL METHOD FOR HYBRID ELECTRIC AIRCRAFT PROPULSION SYSTEM

Siyang Liang, Hongwei Zhao, Xuefei Sun, Jiayuan Zhang, Guorui Yan, Weilin Li

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

Abstract

This paper proposes a novel Hybrid Electric Propulsion System (HEPS) architecture based on adaptive droop control, comprising a Permanent Magnet Synchronous Generator (PMSG), a Fuel Cell (FC), and a Lithium-ion (Li-ion) battery. The system employs a voltage-compensated adaptive droop control strategy integrated with a state machine energy management strategy (SMEMS), enabling the three energy sources to coordinate effectively and meet the power demands of the aircraft efficiently under various operating conditions. The paper includes a detailed analysis and modeling of each energy source and develops corresponding PI control strategies. The feasibility of the proposed topology is confirmed by the simulation results, demonstrating the coordinated performance and stability of the system.

Original languageEnglish
Title of host publicationCSAA/IET International Conference on Aircraft Utility Systems, AUS 2024
PublisherInstitution of Engineering and Technology
Pages1171-1177
Number of pages7
Volume2024
Edition13
ISBN (Electronic)9781837240852, 9781837241217, 9781837241224, 9781837241484, 9781837241521, 9781837241552, 9781837241842, 9781837241880, 9781837241910, 9781837241927, 9781837241958, 9781837241989, 9781837242108, 9781837242115, 9781837242139, 9781837242153, 9781837242160, 9781837242177, 9781837242252, 9781837242405, 9781837242412, 9781837242535, 9781837242672
DOIs
StatePublished - 2024
Event2024 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2024 - Xi�an, China
Duration: 16 Aug 202419 Aug 2024

Conference

Conference2024 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2024
Country/TerritoryChina
CityXi�an
Period16/08/2419/08/24

Keywords

  • ADAPTIVE DROOP CONTROL
  • HYBRID PROPULSION AIRCRAFT SYSTEM
  • PI CONTROL
  • STATE MACHINE

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