Extremum seeking via continuation techniques for optimizing biogas production in the chemostat

Abstract : We consider the chemostat model with the substrate concentration as the single measurement. We propose a control strategy that drives the system at a steady state maximizing the gas production without the knowledge of the specific growth rate. Our approach separates the extremum seeking problem from the feedback control problem such that each of the two subproblems can be solved with relatively simple algorithms. We are then free to choose any numerical optimization algorithm. We give a demonstration for two choices: one is based on slow-fast dynamics and numerical continuation, the other is a combination of golden-section and Newton iteration. The method copes with non-monotonic growth functions.
Type de document :
Communication dans un congrès
9th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2013), Sep 2013, Toulouse, France. 2013, 〈10.3182/20130904-3-FR-2041.00053〉
Liste complète des métadonnées

Littérature citée [49 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-00787510
Contributeur : Alain Rapaport <>
Soumis le : lundi 13 mai 2013 - 15:09:23
Dernière modification le : mercredi 7 novembre 2018 - 23:10:06
Document(s) archivé(s) le : mercredi 14 août 2013 - 04:45:08

Fichiers

EShal2.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Alain Rapaport, Jan Sieber, Serafim Rodrigues, Mathieu Desroches. Extremum seeking via continuation techniques for optimizing biogas production in the chemostat. 9th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2013), Sep 2013, Toulouse, France. 2013, 〈10.3182/20130904-3-FR-2041.00053〉. 〈hal-00787510v2〉

Partager

Métriques

Consultations de la notice

925

Téléchargements de fichiers

467