Parameter estimation of permanent magnet ...
Document type :
Article dans une revue scientifique
Title :
Parameter estimation of permanent magnet stepper motors without mechanical sensors
Author(s) :
Delpoux, Romain [Auteur]
Systèmes Non Linéaires et à Retards [SyNeR]
Non-Asymptotic estimation for online systems [NON-A]
Bodson, Marc [Auteur]
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]
Bodson, Marc [Auteur]
Floquet, Thierry [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Journal title :
Control Engineering Practice
Pages :
178-187
Publisher :
Elsevier
Publication date :
2014-05-01
ISSN :
0967-0661
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
The paper presents a new sensorless parameter identification method for permanent magnet stepper motors. Current sensors are assumed available, but mechanical sensors are not. Data is obtained with open-loop commands at ...
Show more >The paper presents a new sensorless parameter identification method for permanent magnet stepper motors. Current sensors are assumed available, but mechanical sensors are not. Data is obtained with open-loop commands at multiple speeds. A new frame is proposed that presents advantages similar to the d-q frame, but without the need for a position sensor. The method exploits derived linear parameterizations and least-squares algorithms. In some cases, overparameterization is resolved using elimination theory. The parameters identified using the new procedure are found to be very close to those obtained with sensors. The approach is potentially applicable to other types of synchronous motors.Show less >
Show more >The paper presents a new sensorless parameter identification method for permanent magnet stepper motors. Current sensors are assumed available, but mechanical sensors are not. Data is obtained with open-loop commands at multiple speeds. A new frame is proposed that presents advantages similar to the d-q frame, but without the need for a position sensor. The method exploits derived linear parameterizations and least-squares algorithms. In some cases, overparameterization is resolved using elimination theory. The parameters identified using the new procedure are found to be very close to those obtained with sensors. The approach is potentially applicable to other types of synchronous motors.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
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