scholarly journals Neural Network Based Vector Control of Induction Motor

2013 ◽  
Author(s):  
Uthra R ◽  
Kalaiarasi N ◽  
Srinivas Aruntej P
Keyword(s):  
Neural Network ◽  
Vector Control ◽  
Induction Motor

Robust vector control of saturated induction motor using neural network

2003 ◽  
Vol 36 (7) ◽  
pp. 77-82 ◽  
Author(s):  
K. Yazid ◽  
K. Bouhoune ◽  
R. Ibtiouen
Keyword(s):  
Neural Network ◽  
Vector Control ◽  
Induction Motor

scholarly journals A study of sensorless vector control of IM using neural network luenberger observer

2020 ◽  
Vol 11 (3) ◽  
pp. 1259
Author(s):  
Tahar Belbekri ◽  
Bousmaha Bouchiba ◽  
Ismail khalil Bousserhane ◽  
Houcine Becheri
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Vector Control ◽  
Induction Motor ◽  
Speed Control ◽  
Motor Simulation ◽  
Electronic Components ◽  
Luenberger Observer ◽  
Sensorless Vector Control ◽  
Simulation Results

After the development of electronic components, the elimination of the sensors has become a necessary subject to get good results in the field of speed control, because of the price of the sensors, the strenuous choice of its position and the disturbance of measurement which affects the robustness of control. The luenberger observer showed to be one of the most excellent methods suggested by the researchers; this is due to the best performance, it offers in terms of stability, reliability and less counting effort. In this article, a study of luenberger observer based on neural network-based was discussed. This artificial intelligence method makes it possible to decrease the error of estimated speed for IRFOC control of the induction motor. Simulation results are obtained to show the robustness and stability of the system.

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