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Control Allocation Using Reliability Measures for Over-Actuated System

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Intelligent Systems in Technical and Medical Diagnostics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 230))

Abstract

An optimal control law synthesis conditioned by the reliability importance measures and degradation of components in the presence of failures is presented. The aim is to preserve the health of the actuators and the availability of over-actuated system both in the nominal situation and in the presence of some actuator failures. The reliability importance measures are computed by mean of a Bayesian Network (BN) and degradation is modeled by a Dynamic Bayesian Network (DBN) since BN and DBN are well suited to compute actuators reliability through the bayesian inference. It is applied on a system to estimate its reliability and those of its components and provide the parameters to synthesize the control laws. The performance of the developed method is illustrated on an hydraulic system.

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Authors and Affiliations

  1. Faculte des Sciences et Technologies, Université de Lorraine, CRAN - CNRS UMR 7039, B.P. 70239, 54506, Vandoeuvre-les-Nancy, France

    Frederique Bicking, Philippe Weber, Didier Theilliol & Christophe Aubrun

Authors
  1. Frederique Bicking
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  2. Philippe Weber
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  3. Didier Theilliol
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  4. Christophe Aubrun
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Corresponding author

Correspondence to Frederique Bicking .

Editor information

Editors and Affiliations

  1. , Institute of Control and, University of Zielona Gora, ul. Podgorna 50, Zielona Gora, 65-246, Poland

    Jozef Korbicz

  2. , Institute of Control and, University of Zielona Gora, ul. Podgorna 50, Zielona Gora, 65-246, Poland

    Marek Kowal

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© 2014 Springer-Verlag Berlin Heidelberg

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Bicking, F., Weber, P., Theilliol, D., Aubrun, C. (2014). Control Allocation Using Reliability Measures for Over-Actuated System. In: Korbicz, J., Kowal, M. (eds) Intelligent Systems in Technical and Medical Diagnostics. Advances in Intelligent Systems and Computing, vol 230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39881-0_41

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  • DOI: https://doi.org/10.1007/978-3-642-39881-0_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39880-3

  • Online ISBN: 978-3-642-39881-0

  • eBook Packages: EngineeringEngineering (R0)

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