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A new fault tolerant strategy for commercial aircraft based on adaptive control

  • Beihang University
  • Shanghai Engineering Research Center of Intelligent Service Robot

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

Abstract

This paper focuses on the fault tolerant control (FTC) approach using model reference adaptive control (MRAC). The fault in flight control system will lead to destructive accident. Firstly a new general post-fault system model of both additive and multiplicative actuator faults was presented. The new strange of MRAC will overcome the disadvantages of the previous ones, that is, the fault information will be used to compose the control law so that this method will process more fault situations. The performance effectiveness of the proposed control approach is illustrated through studying the control of Boeing 747 numerical model and simulation results validate the effectiveness of the proposed AFTC approach could guarantee the longitudinal control system stability and acceptable performance degradation under typical lock in and loss of effectiveness actuator faults.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017
EditorsWei Guo, Jose Valente de Oliveira, Chuan Li, Yun Bai, Ping Ding, Juanjuan Shi
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages377-382
Number of pages6
ISBN (Electronic)9781509040209
DOIs
StatePublished - 9 Dec 2017
Event2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017 - Shanghai, China
Duration: 16 Aug 201718 Aug 2017

Publication series

NameProceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017
Volume2017-December

Conference

Conference2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017
Country/TerritoryChina
CityShanghai
Period16/08/1718/08/17

Keywords

  • Actuator fault
  • Fault tolerant control
  • Flight control
  • Model reference adaptive control
  • Reconfigurable control

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