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A Linear Parameter Varying Controller for a Re-entry Vehicle Benchmark

  • Andrés Marcos
  • Samir Bennani

Abstract

In this article the design of a linear parameter varying controller for an atmospheric re-entry vehicle benchmark is presented. The control design approach used is based on the Single Quadratic Lyapunov Function approach. The re-entry vehicle used is a high-fidelity benchmark that includes full nonlinear motion, detailed aerodynamic database, nonlinear actuators, colored sensor models, realistic uncertainties and a control-surface mix logic. The latter logic fully couples the longitudinal and lateral/directional motions and together with the noise and uncertainties used result in a challenging and representative atmospheric re-entry benchmark. The results indicate that the LPV controller satisfies all the performance and robustness objectives and alleviates the designer task due to the automated gain-scheduled nature of the approach.

Keywords

Bank Angle Gain Schedule Linear Time Invariant Linear Parameter Vary Monte Carlo Campaign 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Andrés Marcos
    • 1
  • Samir Bennani
    • 2
  1. 1.Deimos Space S.L.U.MadridSpain
  2. 2.ESA ESTEC, NoordwijkThe Netherlands

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