Passive Fault Tolerant Control Allocations for Nonlinear Systems

Salman Ijaz, Hamdoon Ijaz, Maria Khodaverdian, Ahmad Abdelwahed

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

2 Citations (Scopus)

Abstract

This article presents a new fault-tolerant control scheme to achieve maneuvering control of multirotor unmanned aerial vehicle (UAV) system experienced the actuator faults and failures conditions. The suggested control method consists of two independent control modules, one for virtual control and the other for control allocations. A fixed control allocation scheme is deployed as a low-level control module to distribute/redistribute virtual control signals among the available actuators in the nominal/faulty situations without acquiring actuator health information. In order to cope with uncertainty due to actuator faults and to attain fast and finite-time convergence of tracking error, a high-level control module is designed using a higher-order integral sliding mode control method. A rigorous closed-loop stability analysis is carried out to show the system's stability. Finally, the numerical simulations are conducted on a nonlinear model of a multirotor UAV system, demonstrating the efficacy of the suggested approach.

Original languageEnglish
Title of host publicationProceedings of the 34th Chinese Control and Decision Conference, CCDC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2948-2953
Number of pages6
ISBN (Electronic)9781665478960
DOIs
Publication statusPublished - 2022
Event34th Chinese Control and Decision Conference, CCDC 2022 - Hefei, China
Duration: 15 Aug 202217 Aug 2022

Publication series

NameProceedings of the 34th Chinese Control and Decision Conference, CCDC 2022

Conference

Conference34th Chinese Control and Decision Conference, CCDC 2022
Country/TerritoryChina
CityHefei
Period15/08/2217/08/22

Keywords

  • actuator faults
  • control allocation
  • fault tolerant control
  • sliding mode control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Decision Sciences (miscellaneous)
  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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