On-line parameter estimation via algebraic ...
Document type :
Article dans une revue scientifique
DOI :
Title :
On-line parameter estimation via algebraic method: An experimental illustration
Author(s) :
Delpoux, Romain [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Non-Asymptotic estimation for online systems [NON-A]
Floquet, Thierry [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Systèmes Non Linéaires et à Retards [SyNeR]
Non-Asymptotic estimation for online systems [NON-A]
Floquet, Thierry [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Journal title :
Asian Journal of Control
Pages :
315-326
Publisher :
Asian Control Association (ACA) and Chinese Automatic Control Society (CACS)
Publication date :
2015-01
ISSN :
1561-8625
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
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