Direct Torque Neuro-Fuzzy Control of an 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., Egypt.Follow
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 a direct torque of the induction motor drive controlled by Neuro-Fuzzy systet. The proposed control scheme uses the stator flux amplitude and the electromagnetic torque errors through an adaptive Neuro_fazzy inference system (ANFIS) to act on both the amplitude and the angle of the desired reference voltage. Simulation results by using ANFIS are compared with those of the conventional direct torque control (DTC). The comparison results of Direct torque Neuro-fuzzy controller (DTNFC), illustrate the reduction in the torque and stator flux ripples. The validity of the proposed method is confirmed by the simulative results

Keywords

adaptive neuro-fuzzy Inference system(ANFIS); Direct torque control; Induction motor; switching table; three phase inverter

Recommended Citation

Areed, Fayez; Haikal, Amira; and Mohammed, Reham (2020) "Direct Torque Neuro-Fuzzy Control of an Induction Motor.," Mansoura Engineering Journal: Vol. 35 : Iss. 1 , Article 8.
Available at: https://doi.org/10.21608/bfemu.2020.123584