[article]
Titre : |
Neural-network-based low-speed-damping controller for stepper motor with an FPGA |
Type de document : |
texte imprimé |
Auteurs : |
Quy Ngoc, Le, Auteur ; Jae-Wook, Jeon, Auteur |
Année de publication : |
2011 |
Article en page(s) : |
pp. 3167 - 3180 |
Note générale : |
Génie électrique |
Langues : |
Anglais (eng) |
Mots-clés : |
Lyapunov function Neural network (NN) Resonant speed Stepper motor |
Index. décimale : |
621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X |
Résumé : |
We present a low-speed-damping controller for a stepper motor using artificial neural networks (ANNs). This controller is designed to remove nonlinear disturbance at low speeds. The proposed controller improves the stepper motor performance at less than the resonance speed of the stepper motor system. Due to its ability to learn, the proposed controller can adapt to different resonant speed ranges without any identification process for system parameters. Conversely, we also introduce the implementation of an ANN-based controller, online backpropagation learning, and a microstep driver on a single field-programmable gate array. An implementation and experimental results are conducted to verify the feasibility and the effectiveness of the proposed controller. |
DEWEY : |
621.38 |
ISSN : |
0278-0046 |
En ligne : |
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5345729 |
in IEEE transactions on industrial electronics > Vol. 57 N° 9 (Septembre 2010) . - pp. 3167 - 3180
[article] Neural-network-based low-speed-damping controller for stepper motor with an FPGA [texte imprimé] / Quy Ngoc, Le, Auteur ; Jae-Wook, Jeon, Auteur . - 2011 . - pp. 3167 - 3180. Génie électrique Langues : Anglais ( eng) in IEEE transactions on industrial electronics > Vol. 57 N° 9 (Septembre 2010) . - pp. 3167 - 3180
Mots-clés : |
Lyapunov function Neural network (NN) Resonant speed Stepper motor |
Index. décimale : |
621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X |
Résumé : |
We present a low-speed-damping controller for a stepper motor using artificial neural networks (ANNs). This controller is designed to remove nonlinear disturbance at low speeds. The proposed controller improves the stepper motor performance at less than the resonance speed of the stepper motor system. Due to its ability to learn, the proposed controller can adapt to different resonant speed ranges without any identification process for system parameters. Conversely, we also introduce the implementation of an ANN-based controller, online backpropagation learning, and a microstep driver on a single field-programmable gate array. An implementation and experimental results are conducted to verify the feasibility and the effectiveness of the proposed controller. |
DEWEY : |
621.38 |
ISSN : |
0278-0046 |
En ligne : |
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5345729 |
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