Active Fault Tolerant Control for a UAV Subject to Sensor Faults Using Sliding Mode Control

Wasif Shabbir, Li Aijun, Muhammad Taimoor, Cui Yuwei, Muhammad A. Shehu

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

1 Scopus citations

Abstract

Unmanned aerial vehicle (UAV) pitch tracking control in the presence of pitch rate gyro sensor faults is addressed in this work using sliding mode control (SMC). Fault estimation is carried out using two different observers, a high gain observer (HGO) and a radial basis function neural network (RBFNN). Real-time fault estimations are used in the control law to counter the effects of the faults. The chattering problem of SMC is resolved using a power reaching law in the switching part of the control. This forms an active fault tolerant control without the need for controller reconfiguration. The stability of the faulty system is proved using the Lyapunov method. The proposed strategy is applied to pitch tracking control of a scaled Yak-54 UAV. The simulation results show the effectiveness of the proposed methodology.

Original languageEnglish
Title of host publication2022 8th International Conference on Control, Automation and Robotics, ICCAR 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages375-380
Number of pages6
ISBN (Electronic)9781665481168
DOIs
StatePublished - 2022
Event8th International Conference on Control, Automation and Robotics, ICCAR 2022 - Xiamen, China
Duration: 8 Apr 202210 Apr 2022

Publication series

Name2022 8th International Conference on Control, Automation and Robotics, ICCAR 2022

Conference

Conference8th International Conference on Control, Automation and Robotics, ICCAR 2022
Country/TerritoryChina
CityXiamen
Period8/04/2210/04/22

Keywords

  • neural networks
  • Sensor fault estimation
  • sliding mode control
  • tracking control
  • UA V

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