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UAV Control System Reconfiguration Under Physical Constrains

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Advances in Aerospace Guidance, Navigation and Control

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Abstract

In the paper, influence of UAV control system redundancy and constrains on control system reconfiguration performances are investigated. A nonlinear model of a UAV aircraft with decoupled control surfaces is presented. A nonlinear model-based control allocation method is established for control system reconfiguration in the event of control surface jam. The aim of presented reconfiguration method is to obtain controllability performances of a damaged aircraft as close as possible to an undamaged one. The UAV aircraft model has been used to assess and demonstrate the proposed control system reconfiguration algorithms performances resulting from control system redundancy and constrains. The test results analysis, conclusions and recommendations for the aircraft reconfigurability improvement are presented as well.

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Author information

Authors and Affiliations

  1. The Institute of Aeronautics and Applied Mechanics, Warsaw University of Technology, 00-665 Warszawa ul. Nowowiejska 24, Warszawa, Poland

    Marcin Żugaj

Authors
  1. Marcin Żugaj
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Correspondence to Marcin Żugaj .

Editor information

Editors and Affiliations

  1. Avionics and Control Systems Department, Rzeszów University of Technology, Rzeszów, Poland

    Bogusław Dołęga

  2. The Institute of Aeronautics and Applied Mechanics, Warsaw University of Technology, Warsaw, Poland

    Robert Głębocki

  3. Avionics and Control Systems Department, Rzeszów University of Technology, Rzeszów, Poland

    Damian Kordos

  4. The Institute of Aeronautics and Applied Mechanics, Warsaw University of Technology, Warsaw, Poland

    Marcin Żugaj

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Żugaj, M. (2018). UAV Control System Reconfiguration Under Physical Constrains. In: Dołęga, B., Głębocki, R., Kordos, D., Żugaj, M. (eds) Advances in Aerospace Guidance, Navigation and Control. Springer, Cham. https://doi.org/10.1007/978-3-319-65283-2_13

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  • DOI: https://doi.org/10.1007/978-3-319-65283-2_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65282-5

  • Online ISBN: 978-3-319-65283-2

  • eBook Packages: EngineeringEngineering (R0)

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