On-line parameter estimation via algebraic ...
Type de document :
Compte-rendu et recension critique d'ouvrage
DOI :
Titre :
On-line parameter estimation via algebraic method: An experimental illustration
Auteur(s) :
Delpoux, Romain [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Systèmes Non Linéaires et à Retards [SyNeR]
Floquet, Thierry [Auteur]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Non-Asymptotic estimation for online systems [NON-A]
Non-Asymptotic estimation for online systems [NON-A]
Systèmes Non Linéaires et à Retards [SyNeR]
Floquet, Thierry [Auteur]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Non-Asymptotic estimation for online systems [NON-A]
Titre de la revue :
Asian Journal of Control
Pagination :
315-326
Éditeur :
Asian Control Association (ACA) and Chinese Automatic Control Society (CACS)
Date de publication :
2015-01
ISSN :
1561-8625
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [en]
This article presents an algebraic on-line parameters estimation method for Linear Time Invariant (LTI) systems subject to polynomial perturbations. Particular attention is given to practical implementation. The estimator ...
Lire la suite >This article presents an algebraic on-line parameters estimation method for Linear Time Invariant (LTI) systems subject to polynomial perturbations. Particular attention is given to practical implementation. The estimator may be expressed as simple FIR filter, which is advantageous for online application, since the coefficients may be computed offline. The robustification against possible singularities is shown and the approach has the advantage of eliminating singularities that may occur in the experimental identification. This algorithm is illustrated experimentally on a Permanent Magnet Stepper Motor (PMSM) and a magnetic bearing for which parametric estimation is known to be a difficult task. The parameters to be estimated are sometimes measurable with difficulties and may slightly vary over time.Lire moins >
Lire la suite >This article presents an algebraic on-line parameters estimation method for Linear Time Invariant (LTI) systems subject to polynomial perturbations. Particular attention is given to practical implementation. The estimator may be expressed as simple FIR filter, which is advantageous for online application, since the coefficients may be computed offline. The robustification against possible singularities is shown and the approach has the advantage of eliminating singularities that may occur in the experimental identification. This algorithm is illustrated experimentally on a Permanent Magnet Stepper Motor (PMSM) and a magnetic bearing for which parametric estimation is known to be a difficult task. The parameters to be estimated are sometimes measurable with difficulties and may slightly vary over time.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Collections :
Source :
Fichiers
- https://hal.inria.fr/hal-00933292/document
- Accès libre
- Accéder au document
- https://hal.inria.fr/hal-00933292/document
- Accès libre
- Accéder au document
- https://hal.inria.fr/hal-00933292/document
- Accès libre
- Accéder au document
- https://hal.inria.fr/hal-00933292/document
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- Version_hal.pdf
- Accès libre
- Accéder au document
- Version_hal.pdf
- Accès libre
- Accéder au document