A MA-AT Based Fault Diagnosis Method of Large Aircraft

Yuyan Cao, Yongxi Lyu, Ting Li, Xinmin Wang

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

Abstract

Aiming at the typical faults of the electromechanical actuation system of a redundant aileron control surface of the large aircraft, this paper proposes a fault diagnosis method based on the combination of multi-agent and adaptive threshold (MA-AT) considering the redundant electromechanical actuation system-flight control system closed-loop, which tackles the difficult problem of the determination of the fault diagnosis threshold. Firstly, the composition of the electromechanical actuation system of large aircraft is analyzed and an accurate mathematical model of the electromechanical actuator with fault information of each component is established. Secondly, the homogeneous multi-agent model is established according to the information interaction among the redundant electromechanical actuators and the distributed relative output error vector is obtained. To minimize the estimation error, the gain matrix of the observer is solved by combining pole assignment and H-infinity performance multi-objective design method, and the design of fault diagnosis observer for redundant electromechanical actuation system is completed. Finally, combined with the flight quality requirements of large aircraft and the design of typical roll angle control mode control law, the signal threshold for fault diagnosis of the electromechanical actuation system is adaptively obtained from the influence of fault signal on the electromechanical actuator and the influence of electromechanical actuator performance parameters on the key state of the flight control system, which provides the judgment basis for fault isolation of electromechanical actuator.

Original languageEnglish
Title of host publicationThe Proceedings of the 2021 Asia-Pacific International Symposium on Aerospace Technology APISAT 2021, Volume 2
EditorsSangchul Lee, Cheolheui Han, Jeong-Yeol Choi, Seungkeun Kim, Jeong Ho Kim
PublisherSpringer Science and Business Media Deutschland GmbH
Pages269-281
Number of pages13
ISBN (Print)9789811926341
DOIs
StatePublished - 2023
EventAsia-Pacific International Symposium on Aerospace Technology, APISAT 2021 - Virtual, Online
Duration: 15 Nov 202117 Nov 2021

Publication series

NameLecture Notes in Electrical Engineering
Volume913
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceAsia-Pacific International Symposium on Aerospace Technology, APISAT 2021
CityVirtual, Online
Period15/11/2117/11/21

Keywords

  • Adaptive threshold
  • Electromechanical actuation system
  • Fault diagnosis
  • Flight control system
  • Multi-agent

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