Dominant wave frequency and amplitude estimation for adaptive control of wave energy converters

Hoai-Nam Nguyen 1 Paolino Tona 1 Guillaume Sabiron 1
1 IFPEN - IFP Energies nouvelles
Abstract : Adaptive control is of great interest for wave energy converters (WEC) due to the inherent time-varying nature of sea conditions. Robust and accurate estimation algorithms are required to improve the knowledge of the current sea state on a wave-to-wave basis in order to ensure power harvesting as close as possible to optimal behavior. In this paper, we present a simple but innovative approach for estimating the wave force dominant frequency and wave force dominant amplitude based on the unscented Kalman filter. The main benefits of the proposed method are illustrated by a numerical example concerning a small-scale wave energy converter prototype, with data coming from experimental recordings obtained in a test basin with irregular waves.
Type de document :
Communication dans un congrès
OCEANS 2017 - Aberdeen, Jun 2017, Aberdeen, United Kingdom. pp.1 - 6, 2017, OCEANS 2017 - Aberdeen. 〈10.1109/OCEANSE.2017.8084955〉
Liste complète des métadonnées

Littérature citée [18 références]  Voir  Masquer  Télécharger
https://hal-ifp.archives-ouvertes.fr/hal-01628439
Contributeur : Paolino Tona <>
Soumis le : vendredi 3 novembre 2017 - 14:44:33
Dernière modification le : mardi 15 mai 2018 - 14:50:04
Document(s) archivé(s) le : dimanche 4 février 2018 - 13:46:54

Fichier

OCEANS_2017_HN_Nguyen_et_al_OK...
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

IFP

Citation

Hoai-Nam Nguyen, Paolino Tona, Guillaume Sabiron. Dominant wave frequency and amplitude estimation for adaptive control of wave energy converters. OCEANS 2017 - Aberdeen, Jun 2017, Aberdeen, United Kingdom. pp.1 - 6, 2017, OCEANS 2017 - Aberdeen. 〈10.1109/OCEANSE.2017.8084955〉. 〈hal-01628439〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

58

Téléchargements de fichiers

43

Contact

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