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Información general |
| Autor |
Aymen, Flah; Lassâad, Sbita |
| Publicado |
InTech Open Access Publisher, 2013
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| Abstract |
In this paper, an improved robust vector control
strategy is designed to drive the Permanent magnet
synchronous motor in a wide speed range mode. The
designed control method guarantees the precision and
robustness of speed regulation performance by using
recurrent neural network architecture. The stator current
controller parameter tuning problems, which characterize
this control strategy, are resolved using a
bacterial foraging optimization algorithm to find the
optimal parameters of the current controllers used. A
field weakening control algorithm generates an adaptive
magnetizing current command to achieve the desired
high speed mode. The robustness and effectiveness of the
global control scheme are verified through computer
simulations established under a Matlab‐Simulink
environment. |
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International Journal of Advanced Robotic Systems
Autor: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Publicado: 2004
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