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Advances in Aerospace Guidance, Navigation and Control pp 323–341Cite as

Sliding Mode Observers for Fault Estimation in Multisensor Avionics Systems

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Abstract

The paper addresses the problem of sensor fault estimation in avionics multisensor systems. Under the assumption of system strong observability, sliding mode observers are designed to estimate the faults in finite time and in the presence of bounded disturbances. It is shown that the fault estimation error is bounded in the L  ∞ -norm sense, and an upper bound is theoretically derived. The method is applied to the problem of sensor fault estimation of a large transport aircraft. Simulation results as well as a pilot experiment are presented to demonstrate the potential of the proposed method.

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Author information

Authors and Affiliations

  1. CNRS, IMS-lab, Université de Bordeaux, 351 cours de la Libération, 33405, Talence cedex, France

    Jérome Cieslak, David Henry & Ali Zolghadri

  2. Instituto Politecnico Nacional, Avenida del Parque 1310, Mesa de Otay, Tijuana, Mexico

    Alejandra Ferreira de Loza

  3. Section of Graduate Studies and Research, ESIME-UPT, National Polytechnic Institute, C.P. 07340, México D.F., México

    Jorge Dávila

Authors
  1. Jérome Cieslak
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  2. Alejandra Ferreira de Loza
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  3. David Henry
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  4. Jorge Dávila
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  5. Ali Zolghadri
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Corresponding author

Correspondence to Jérome Cieslak .

Editor information

Editors and Affiliations

  1. ISAE, University of Toulouse, Toulouse, France

    Joël Bordeneuve-Guibé

  2. ENAC, University of Toulouse, Toulouse, France

    Antoine Drouin

  3. ONERA The French Aerospace Lab, Toulouse, France

    Clément Roos

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© 2015 Springer International Publishing Switzerland

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Cieslak, J., de Loza, A.F., Henry, D., Dávila, J., Zolghadri, A. (2015). Sliding Mode Observers for Fault Estimation in Multisensor Avionics Systems. In: Bordeneuve-Guibé, J., Drouin, A., Roos, C. (eds) Advances in Aerospace Guidance, Navigation and Control. Springer, Cham. https://doi.org/10.1007/978-3-319-17518-8_19

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  • DOI: https://doi.org/10.1007/978-3-319-17518-8_19

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17517-1

  • Online ISBN: 978-3-319-17518-8

  • eBook Packages: EngineeringEngineering (R0)

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