De-centralized Control for Distributed Electric Propulsion Systems in Electric UAVs

Yigeng Huangfu, Tianying Yu, Ruiheng Zhang, Yuhua Du, Aili Fan

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

1 Scopus citations

Abstract

This paper proposes a de-centralized control method for distributed electric propulsion (DEP) systems in Unmanned Aerial Vehicles (UAVs). The traditional DEP system adopts a centralized control method and is equipped with similar redundancy. Such a control configuration suffers from single-point-of-failure and common mode faults. In this paper, a distributed control architecture is designed for the electric propulsion system, and a de-centralized control algorithm based on the pinning consensus is proposed to realize the synchronous control of the electric propeller speed and ensure the overall dynamic performance of the whole system. In addition, to address the problem that the cyber network may be disturbed by noise or gain loss, a disturbance reconfiguration approach based on continuous signal compensation is designed to autonomously compensate for the steady-state error and enhance the stability under system disturbance. The performance of the proposed controller has been validated using fine-tuned motor models.

Original languageEnglish
Title of host publication2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350360868
DOIs
StatePublished - 2024
Event19th IEEE Conference on Industrial Electronics and Applications, ICIEA 2024 - Kristiansand, Norway
Duration: 5 Aug 20248 Aug 2024

Publication series

Name2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024

Conference

Conference19th IEEE Conference on Industrial Electronics and Applications, ICIEA 2024
Country/TerritoryNorway
CityKristiansand
Period5/08/248/08/24

Keywords

  • De-centralized control
  • Distributed electric propulsion system
  • Disturbance suppression
  • Multi-motor synchronous control

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