Détail de l'auteur
Auteur Tingna, Shi |
Documents disponibles écrits par cet auteur (2)



A neural-network-identifier and fuzzy-controller-based algorithm for dynamic decoupling control of permanent-magnet spherical motor / Changliang, Xia in IEEE transactions on industrial electronics, Vol. 57 N° 8 (Août 2010)
![]()
[article]
Titre : A neural-network-identifier and fuzzy-controller-based algorithm for dynamic decoupling control of permanent-magnet spherical motor Type de document : texte imprimé Auteurs : Changliang, Xia, Auteur ; Chen, Guo, Auteur ; Tingna, Shi, Auteur Année de publication : 2011 Article en page(s) : pp. 2868 - 2878 Note générale : Génie électrique Langues : Anglais (eng) Mots-clés : Dynamic decoupling control algorithm Fuzzy controller (FC) Neural network identifier (NNI) Online identification Permanent-magnet (PM) spherical motor (PMSM) Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : This paper proposes a dynamic model of permanent-magnet spherical motor (PMSM) and puts forward a dynamic decoupling control algorithm of the motor, using fuzzy controllers (FCs) and a neural network identifier (NNI). PMSM is a multivariable nonlinear system with strong interaxis couplings. A computed torque method structure is applied to PMSM. There are such uncertainties as estimated errors of the model and external perturbations, which may influence the precision of the control system. A back-propagation algorithm with additional momentum term and self-adaptive learning rate applied to feed-forward neural network can approach nonlinear functions with a learning rate adjusted online, which helps to improve training speed. In this paper, an NNI is applied to identify the uncertainties online. An adaptive-neuro-fuzzy-inference-system-based FC is applied, which has self-adaptive ability and strong robustness. Simulation results preliminarily validate that the algorithm proposed in this paper can eliminate the influences of interaxis nonlinear couplings effectively to actualize dynamic decoupling control. Furthermore, the static and dynamic performances of the control system have been improved greatly with strong robustness to uncertainties. A hypothetical microprocessor system is proposed, and simple experiments of spinning operation are carried out as a foundation for further study. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5332328
in IEEE transactions on industrial electronics > Vol. 57 N° 8 (Août 2010) . - pp. 2868 - 2878[article] A neural-network-identifier and fuzzy-controller-based algorithm for dynamic decoupling control of permanent-magnet spherical motor [texte imprimé] / Changliang, Xia, Auteur ; Chen, Guo, Auteur ; Tingna, Shi, Auteur . - 2011 . - pp. 2868 - 2878.
Génie électrique
Langues : Anglais (eng)
in IEEE transactions on industrial electronics > Vol. 57 N° 8 (Août 2010) . - pp. 2868 - 2878
Mots-clés : Dynamic decoupling control algorithm Fuzzy controller (FC) Neural network identifier (NNI) Online identification Permanent-magnet (PM) spherical motor (PMSM) Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : This paper proposes a dynamic model of permanent-magnet spherical motor (PMSM) and puts forward a dynamic decoupling control algorithm of the motor, using fuzzy controllers (FCs) and a neural network identifier (NNI). PMSM is a multivariable nonlinear system with strong interaxis couplings. A computed torque method structure is applied to PMSM. There are such uncertainties as estimated errors of the model and external perturbations, which may influence the precision of the control system. A back-propagation algorithm with additional momentum term and self-adaptive learning rate applied to feed-forward neural network can approach nonlinear functions with a learning rate adjusted online, which helps to improve training speed. In this paper, an NNI is applied to identify the uncertainties online. An adaptive-neuro-fuzzy-inference-system-based FC is applied, which has self-adaptive ability and strong robustness. Simulation results preliminarily validate that the algorithm proposed in this paper can eliminate the influences of interaxis nonlinear couplings effectively to actualize dynamic decoupling control. Furthermore, the static and dynamic performances of the control system have been improved greatly with strong robustness to uncertainties. A hypothetical microprocessor system is proposed, and simple experiments of spinning operation are carried out as a foundation for further study. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5332328 Exemplaires
Code-barres Cote Support Localisation Section Disponibilité aucun exemplaire A new approach of minimizing commutation torque ripple for brushless DC motor based on DC–DC converter / Tingna, Shi in IEEE transactions on industrial electronics, Vol. 57 N° 10 (Octobre 2010)
![]()
[article]
Titre : A new approach of minimizing commutation torque ripple for brushless DC motor based on DC–DC converter Type de document : texte imprimé Auteurs : Tingna, Shi, Auteur ; Yuntao, Guo, Auteur ; Peng, Song, Auteur Année de publication : 2011 Article en page(s) : pp. 3483 - 3490 Note générale : Génie électrique Langues : Anglais (eng) Mots-clés : Brushless dc motor (BLDCM) Commutation Dc link voltage control Single-ended primary inductor converter (SEPIC) Torque ripple Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : Brushless dc motor still suffers from commutation torque ripple, which mainly depends on speed and transient line current in the commutation interval. This paper presents a novel circuit topology and a dc link voltage control strategy to keep incoming and outgoing phase currents changing at the same rate during commutation. A dc-dc single-ended primary inductor converter (SEPIC) and a switch selection circuit are employed in front of the inverter. The desired commutation voltage is accomplished by the SEPIC converter. The dc link voltage control strategy is carried out by the switch selection circuit to separate two procedures, adjusting the SEPIC converter and regulating speed. The cause of commutation ripple is analyzed, and the way to obtain the desired dc link voltage is introduced in detail. Finally, simulation and experimental results show that, compared with the dc-dc converter, the proposed method can obtain the desired voltage much faster and minimize commutation torque ripple more efficiently at both high and low speeds. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5371828
in IEEE transactions on industrial electronics > Vol. 57 N° 10 (Octobre 2010) . - pp. 3483 - 3490[article] A new approach of minimizing commutation torque ripple for brushless DC motor based on DC–DC converter [texte imprimé] / Tingna, Shi, Auteur ; Yuntao, Guo, Auteur ; Peng, Song, Auteur . - 2011 . - pp. 3483 - 3490.
Génie électrique
Langues : Anglais (eng)
in IEEE transactions on industrial electronics > Vol. 57 N° 10 (Octobre 2010) . - pp. 3483 - 3490
Mots-clés : Brushless dc motor (BLDCM) Commutation Dc link voltage control Single-ended primary inductor converter (SEPIC) Torque ripple Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : Brushless dc motor still suffers from commutation torque ripple, which mainly depends on speed and transient line current in the commutation interval. This paper presents a novel circuit topology and a dc link voltage control strategy to keep incoming and outgoing phase currents changing at the same rate during commutation. A dc-dc single-ended primary inductor converter (SEPIC) and a switch selection circuit are employed in front of the inverter. The desired commutation voltage is accomplished by the SEPIC converter. The dc link voltage control strategy is carried out by the switch selection circuit to separate two procedures, adjusting the SEPIC converter and regulating speed. The cause of commutation ripple is analyzed, and the way to obtain the desired dc link voltage is introduced in detail. Finally, simulation and experimental results show that, compared with the dc-dc converter, the proposed method can obtain the desired voltage much faster and minimize commutation torque ripple more efficiently at both high and low speeds. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5371828 Exemplaires
Code-barres Cote Support Localisation Section Disponibilité aucun exemplaire