Comparative Analysis Methods of Direct Torque Control for Induction Motor.

Authors

Fayez Areed, Professor of Computer & Systems Department., Faculty of Engineering., El-Mansoura University, Mansoura., Egypt.
Amira Haikal, Assistant Professor., Computer & Systems Department., Faculty of Engineering., El-Mansoura University., Mansoura., EgyptFollow
Reham Mohammed, Instructor., Computer & Systems Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Corresponding Author

Areed, Fayez

Subject Area

Computer and Control Systems Engineering

Article Type

Original Study

Abstract

In this article we propose two approaches to improve the direct torque control (DTC) of an aduction motor (IM) such as fuzzy logic (FL) and artificial neural network (ANN), applied in witching select voltage vector. Slaulation results of two approaches compared with those of muveantional direct torque control (DTC). The comparison results of the (FL_DTC) and (ANN DTC) illustrate the reduction in the torque and stator flux ripples. The validity of the proposed methods is confirmed by the simulative results. The two approaches are explained in clear details which are designed using SIMULINK vader Matlab Ver.7.7 software package. Also, MATLAB2008/FUZZY toolbox is used to implement the fuzzy logic coptroller. Both systems are lawlated under the same conditions

Keywords

Artificial Neural network (ANN); Direct torque control; Furry logic; Induction motor; witching table; three phase inverter

Recommended Citation

Areed, Fayez; Haikal, Amira; and Mohammed, Reham (2020) "Comparative Analysis Methods of Direct Torque Control for Induction Motor.," Mansoura Engineering Journal: Vol. 35 : Iss. 1 , Article 9.
Available at: https://doi.org/10.21608/bfemu.2020.123589