Line of Sight controller tuning using Bayesian optimization of a high-level optronic criterion

Sophie Frasnedo 1, 2 Julien Bect 3, 2 Cédric Chapuis 1 Gilles Duc 2 Philippe Feyel 1, 2 Guillaume Sandou 4, 2
1 Sagem Defence and Security (Safran)
2 L2S - Laboratoire des signaux et systèmes
3 GdR MASCOT-NUM - Méthodes d'Analyse Stochastique des Codes et Traitements Numériques
4 DISCO - Dynamical Interconnected Systems in COmplex Environments
L2S - Laboratoire des signaux et systèmes, Inria Saclay - Ile de France, SUPELEC, CNRS - Centre National de la Recherche Scientifique : UMR8506
Abstract : A method to globally optimize the parameters of the controller of an inertially stabilized platform is presented. This platform carries an electro-optical system. The quality of the produced image is obviously influenced by the capacity of the controller to compensate for the unwanted motion of the platform. The motion Modulation Transfer Function (motion MTF) measures the amount of blur brought into the image by those parasite movements. The controller is tuned by minimizing a criterion which includes the motion MTF. However, evaluating this criterion is time-consuming. Using an optimization method that needs numerous evaluations of the criterion is not compatible with industrial constraints. Bayesian optimization methods consist in combining prior information about the criterion and previous evaluation results in order to choose efficiently new evaluation points and reach the global minimizer within reasonable time. In this paper, a Bayesian approach is used to optimize the motion MTF-based criterion. The results are compared with a local optimization of the same MTF-based criterion, initialized with an acceptable point. Similar performances are achieved by the proposed methodology, without requiring an initialization point.
Keywords : Inertial Platform Global optimization Image motion compensation Expensive to evaluate functions Modulation Transfer Function Parameter optimization
Type de document :
Communication dans un congrès
16th IFAC Workshop on Control Applications of Optimization, Oct 2015, Garmisch-Partenkirchen, Andorra. 16th IFAC Workshop on Control Applications of Optimization, 48 (25), pp.56-61, 2015, 〈10.1016/j.ifacol.2015.11.059〉
Liste complète des métadonnées

Littérature citée [15 références]  Voir  Masquer  Télécharger
https://hal-centralesupelec.archives-ouvertes.fr/hal-01259423
Contributeur : Pascale Lepeltier <>
Soumis le : mardi 1 août 2017 - 17:27:07
Dernière modification le : jeudi 5 avril 2018 - 12:30:14

Fichier

Frasnedo_CAO15.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

TDS-MACS | L2S | CENTRALESUPELEC | SUP_LSS | INRIA | UNIV-PARIS-SACLAY | SUP_SIGNAUX | SUP_SYSTEMES

Citation

Sophie Frasnedo, Julien Bect, Cédric Chapuis, Gilles Duc, Philippe Feyel, et al.. Line of Sight controller tuning using Bayesian optimization of a high-level optronic criterion. 16th IFAC Workshop on Control Applications of Optimization, Oct 2015, Garmisch-Partenkirchen, Andorra. 16th IFAC Workshop on Control Applications of Optimization, 48 (25), pp.56-61, 2015, 〈10.1016/j.ifacol.2015.11.059〉. 〈hal-01259423〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

553

Téléchargements de fichiers

86

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD