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An online simplified rotor resistance estimator for induction motors / Kenne, Godpromesse in IEEE Transactions on control systems technology, Vol. 18 N° 5 (Septembre 2010) 

Public ISBD [article]  in IEEE Transactions on control systems technology > Vol. 18 N° 5 (Septembre 2010) . - pp. 1188-1194 Titre : An online simplified rotor resistance estimator for induction motors Type de document : texte imprimé Auteurs : Kenne, Godpromesse, Auteur ; Rostand Sorel Simo, Auteur ; Françoise Lamnabhi-Lagarrigue, Auteur Année de publication : 2011 Article en page(s) : pp. 1188-1194 Note générale : Génie Aérospatial Langues : Anglais (eng) Mots-clés : Equivalent  injection  term  Nonlinear  observer  Online  parameter  estimation Index. décimale : 629.1 Résumé : This brief presents an adaptive variable structure identifier that provides finite time convergent estimate of the induction motor rotor resistance under feasible persistent of excitation condition. The proposed rotor resistance scheme is based on the standard dynamic model of induction motor expressed in a fixed reference frame attached to the stator. The available variables are the rotor speed, the stator currents and voltages. Experiments show that the proposed method achieved very good estimation of the rotor resistance which is subjected to online large variation during operation of the induction motor. Also, the proposed online simplified rotor resistance estimator is robust with respect to the variation of the stator resistance, measurement noise, modeling errors, discretization effects and parameter uncertainties. Important advantages of the proposed algorithm include that it is an online method (the value of Rr can be continuously updated) and it is very simple to implement in real-time (this feature distinguishes the proposed identifier from the known ones). DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5308220 [article] An online simplified rotor resistance estimator for induction motors [texte imprimé] / Kenne, Godpromesse, Auteur ; Rostand Sorel Simo, Auteur ; Françoise Lamnabhi-Lagarrigue, Auteur . - 2011 . - pp. 1188-1194. Génie Aérospatial Langues : Anglais (eng) in IEEE Transactions on control systems technology > Vol. 18 N° 5 (Septembre 2010) . - pp. 1188-1194 Mots-clés : Equivalent  injection  term  Nonlinear  observer  Online  parameter  estimation Index. décimale : 629.1 Résumé : This brief presents an adaptive variable structure identifier that provides finite time convergent estimate of the induction motor rotor resistance under feasible persistent of excitation condition. The proposed rotor resistance scheme is based on the standard dynamic model of induction motor expressed in a fixed reference frame attached to the stator. The available variables are the rotor speed, the stator currents and voltages. Experiments show that the proposed method achieved very good estimation of the rotor resistance which is subjected to online large variation during operation of the induction motor. Also, the proposed online simplified rotor resistance estimator is robust with respect to the variation of the stator resistance, measurement noise, modeling errors, discretization effects and parameter uncertainties. Important advantages of the proposed algorithm include that it is an online method (the value of Rr can be continuously updated) and it is very simple to implement in real-time (this feature distinguishes the proposed identifier from the known ones). DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5308220

Real-time speed and flux adaptive control of induction motors using unknown time-varying rotor resistance and load torque / Kenne, Godpromesse in IEEE transactions on energy conversion, Vol. 24 N° 2 (Juin 2009) 

Public ISBD [article]  in IEEE transactions on energy conversion > Vol. 24 N° 2 (Juin 2009) . - pp. 375 - 387 Titre : Real-time speed and flux adaptive control of induction motors using unknown time-varying rotor resistance and load torque Type de document : texte imprimé Auteurs : Kenne, Godpromesse, Auteur ; Ahmed Ali, Tarek, Auteur ; Françoise Lamnabhi-Lagarrigue, Auteur Année de publication : 2009 Article en page(s) : pp. 375 - 387 Note générale : energy conversion Langues : Anglais (eng) Mots-clés : Adaptive  control;  induction  motors;  machine  control;  magnetic  flux;  magnetic  variables  control;  stators;  velocity  control Résumé : In this paper, an algorithm for direct speed and flux adaptive control of induction motors using unknown time-varying rotor resistance and load torque is described and validated with experimental results. This method is based on the variable structure theories and is potentially useful for adjusting online the induction motor controller unknown parameters (load torque and rotor resistance). The presented nonlinear compensator provides voltage inputs on the basis of rotor speed and stator current measurements, and generates estimates for both the unknown parameters and the nonmeasurable state variables (rotor flux and derivatives of the stator current and voltage) that converge to the corresponding true values. Experiments show that the proposed method achieved very good tracking performance within a wide range of the operation of the induction motor with online variation of the rotor resistance: up to (87%). This high tracking performance of the rotor resistance variation demonstrates that the proposed adaptive control is beneficial for motor efficiency. The proposed algorithm also presented high decoupling performance and very interesting robustness properties with respect to the variation of the stator resistance (up to 100%), measurement noise, modeling errors, discretization effects, and parameter uncertainties (e.g., inaccuracies on motor inductance values). The other interesting feature of the proposed method is that it is simple and easily implementable in real time. Comparative results have shown that the proposed adaptive control decouples speed and flux tracking while standard field-oriented control does not. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4957570&sortType%3Das [...] [article] Real-time speed and flux adaptive control of induction motors using unknown time-varying rotor resistance and load torque [texte imprimé] / Kenne, Godpromesse, Auteur ; Ahmed Ali, Tarek, Auteur ; Françoise Lamnabhi-Lagarrigue, Auteur . - 2009 . - pp. 375 - 387. energy conversion Langues : Anglais (eng) in IEEE transactions on energy conversion > Vol. 24 N° 2 (Juin 2009) . - pp. 375 - 387 Mots-clés : Adaptive  control;  induction  motors;  machine  control;  magnetic  flux;  magnetic  variables  control;  stators;  velocity  control Résumé : In this paper, an algorithm for direct speed and flux adaptive control of induction motors using unknown time-varying rotor resistance and load torque is described and validated with experimental results. This method is based on the variable structure theories and is potentially useful for adjusting online the induction motor controller unknown parameters (load torque and rotor resistance). The presented nonlinear compensator provides voltage inputs on the basis of rotor speed and stator current measurements, and generates estimates for both the unknown parameters and the nonmeasurable state variables (rotor flux and derivatives of the stator current and voltage) that converge to the corresponding true values. Experiments show that the proposed method achieved very good tracking performance within a wide range of the operation of the induction motor with online variation of the rotor resistance: up to (87%). This high tracking performance of the rotor resistance variation demonstrates that the proposed adaptive control is beneficial for motor efficiency. The proposed algorithm also presented high decoupling performance and very interesting robustness properties with respect to the variation of the stator resistance (up to 100%), measurement noise, modeling errors, discretization effects, and parameter uncertainties (e.g., inaccuracies on motor inductance values). The other interesting feature of the proposed method is that it is simple and easily implementable in real time. Comparative results have shown that the proposed adaptive control decouples speed and flux tracking while standard field-oriented control does not. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4957570&sortType%3Das [...]