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Subspace Predictive Control Applied to Fault-Tolerant Control

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Fault Tolerant Flight Control

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 399))

Introduction

Subspace identification is a technique that can be used for identification of state-space models from input-output data. This technique has drawn considerable interest in the last two decades [1, 2], especially for linear time-invariant systems. A reason for this is the efficient way in which models are identified for systems of high order and with multiple inputs and outputs. Subspace identification can be used to form a subspace predictor for prediction of future outputs from past input-output data and a future input-sequence. This subspace predictor can be computed without realization of the actual state-space models, which significantly reduces computational requirements. In [3] the subspace predictor has been combined with model predictive control [4], resulting in a control algorithm that has been given the name subspace predictive control (SPC). In SPC, the output predicted by the subspace predictor is part of the cost function of the predictive controller. As a result of the subspace predictor being generated completely from input-output data, the SPC algorithm is a data-driven one.

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Author information

Authors and Affiliations

  1. ReliaCon, Rotterdamseweg 145, 2628AL, Delft, The Netherlands

    Redouane Hallouzi

  2. Delft Center for Systems and Control, Delft University of Technology, Mekelweg 2, 2628CD, Delft, The Netherlands

    Michel Verhaegen

Authors
  1. Redouane Hallouzi
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  2. Michel Verhaegen
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Editor information

Editors and Affiliations

  1. University of Leicester, University Road, LE1 7RH, Leicester, United Kingdom

    Christopher Edwards

  2. Delft University of Technology, Kluyverweg 1, P.O. Box 5058, 2600 GB, Delft, The Netherlands

    Thomas Lombaerts

  3. National Aerospace Laboratory NLR, Anthony Fokkerweg 2, 1059 CM, Amsterdam, The Netherlands

    Hafid Smaili

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Hallouzi, R., Verhaegen, M. (2010). Subspace Predictive Control Applied to Fault-Tolerant Control. In: Edwards, C., Lombaerts, T., Smaili, H. (eds) Fault Tolerant Flight Control. Lecture Notes in Control and Information Sciences, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11690-2_10

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  • DOI: https://doi.org/10.1007/978-3-642-11690-2_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11689-6

  • Online ISBN: 978-3-642-11690-2

  • eBook Packages: EngineeringEngineering (R0)

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