Direct torque control of Induction Motor based on artificial neural networks speed control using MRAS and neural PID controller

This contribution deals with the proposal of direct torque control (DTC) for Induction Motor (IM) with the use of artificial neural networks (ANN) to increase the system's performance. Model Reference Adaptive System (MRAS) method is used for the estimation and regulation of rotor's speed....

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Bibliographic Details
Published in2015 IEEE Electrical Power and Energy Conference (EPEC) pp. 320 - 325
Main Authors Zegai, M. L., Bendjebbar, M., Belhadri, K., Doumbia, M. L., Hamane, B., Koumba, P. M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2015
Subjects
Adaptation models
Artificial neural networks
Direct Torque Control
Induction Motor
Mathematical model
Model Reference Adaptive System
Neural Controller
Rotors
Stators
Torque
Training
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Summary:This contribution deals with the proposal of direct torque control (DTC) for Induction Motor (IM) with the use of artificial neural networks (ANN) to increase the system's performance. Model Reference Adaptive System (MRAS) method is used for the estimation and regulation of rotor's speed. The whole structure of DTC is designed by Matlab/Simulink. The neural controller is designed using neural Toolbox, and the system's performance is compared with conventional DTC.
ISBN:1479976628
9781479976621
DOI:10.1109/EPEC.2015.7379970