Comparative Analysis Methods of Direct Torque Control for Induction Motor. | ||||
| MEJ- Mansoura Engineering Journal | ||||
| Article 9, Volume 35, Issue 1, March 2010, Page 43-52 PDF (952.69 K) | ||||
| Document Type: Research Studies | ||||
| DOI: 10.21608/bfemu.2020.123589 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Fayez G. Areed* 1; Amira Haikal2; Reham Mohammed3 | ||||
| 1Professor of Computer & Systems Department., Faculty of Engineering., El-Mansoura University, Mansoura., Egypt. | ||||
| 2Assistant Professor., Computer & Systems Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt | ||||
| 3Instructor., Computer & Systems Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt. | ||||
| 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 | ||||
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