Fault-Tolerant Control of Wing Surface Based on Incremental Nonlinear Dynamic Inversion

Jiaxin Chen, Xiaoxiong Liu, Tongwen Chen, Wang Lei

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

Abstract

The damage to the aircraft wing not only disrupts the aircraft’s inherent structure but also alters its aerodynamic characteristics, posing a serious threat to the safety of aircraft flight. In case of wing damage, pilots can save the aircraft by making sound decisions and using proper manipulation techniques if the flight control system is still operational, preventing catastrophic accidents. This paper takes a large transport aircraft as the research object and delves into the key issues involved in the fault-tolerant control method of the flight control system’s wing sur-face. A fault-tolerant control method with control allocation based on incremental nonlinear dynamic inversion is proposed. This method performs control allocation according to fault information and utilizes control surface deflection to estimate the angular acceleration signal, significantly enhancing the aircraft’s robustness against wing surface faults. Simulation results demonstrate that the designed fault-tolerant flight control law can ensure the normal flight of the aircraft in the event of a single wing surface failure.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 8
EditorsLiang Yan, Haibin Duan, Yimin Deng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages217-226
Number of pages10
ISBN (Print)9789819622276
DOIs
StatePublished - 2025
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2024 - Changsha, China
Duration: 9 Aug 202411 Aug 2024

Publication series

NameLecture Notes in Electrical Engineering
Volume1344 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2024
Country/TerritoryChina
CityChangsha
Period9/08/2411/08/24

Keywords

  • Control Allocation
  • Fault Aircraft Characteristics Analysis
  • Incremental Dynamic Inverse Control

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