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Line of sight controller tuning using Bayesian optimisation: application to a double stage stabilisation platform

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  • Sophie Frasnedo
  • Guillaume Sandou
  • Gilles Duc
  • Cédric Chapuis
  • Philippe Feyel

Abstract

The inertial stabilisation of the line of sight of an imager fixed on a mobile carrier is considered in order to acquire good quality images despite the disturbances generated by the carrier. A double stage mechanical stabilisation architecture is proposed, where a second stabilisation stage, based on a piezoelectric actuator, is added to the usual structure. The piezoelectric actuator transfer function and hysteresis are characterised through experiments. In order to design the controllers of both stages, a high-level image quality criterion (the modulation transfer function (MTF)) is considered, together with design constraints on the main variables of interest. The criterion and the constraints are evaluated by realistic simulations based on some input and noise profiles measured on a real-life system. The MTF evaluation being time-consuming, a Bayesian optimisation method specially dedicated to expensive-to-evaluate functions is used to obtain the parameters of the controllers. The obtain experimental results are displayed and their performances discussed.

Suggested Citation

  • Sophie Frasnedo & Guillaume Sandou & Gilles Duc & Cédric Chapuis & Philippe Feyel, 2019. "Line of sight controller tuning using Bayesian optimisation: application to a double stage stabilisation platform," International Journal of Systems Science, Taylor & Francis Journals, vol. 50(1), pages 8-22, January.
    • Handle: RePEc:taf:tsysxx:v:50:y:2019:i:1:p:8-22
    DOI: 10.1080/00207721.2018.1543471
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