Title: Harmonic minimisation in direct torque controlled induction motor using neural network controller

Authors: Sudhakar Ambarapu; M. Vijaya Kumar

Addresses: EEE Department, Marri Laxman Reddy Institute of Technology, Hyderabad, Telangana, India ' Electrical Engineering Department, JNTUA, Anantapuramu, Andhra Pradesh, India

Abstract: In a conventional direct torque control (DTC) method, hysteresis controllers are used to process the flux and torque errors influencing space voltage vector selection to obtain direct torque control of induction motor resulting in harmonics. The scope of the paper is to apply neural network controller technology for direct torque controlled induction motor drives suitable for high performance application. Then the flux and torque errors are processed through hysteresis controllers along with neural network controllers in order to improve voltage space vector selection strategy and achieve reduction in current harmonics and improve quality of electrical energy. Finally, the Simulink models of direct torque controlled induction motor with and without neural controller are tested in MATLAB/Simulink for different operating conditions with favourable results.

Keywords: neural network controller technology; induction motor; hysteresis controller; direct torque control; harmonics in electrical energy.

DOI: 10.1504/IJETP.2020.109318

International Journal of Energy Technology and Policy, 2020 Vol.16 No.5/6, pp.612 - 630

Received: 05 Jul 2018
Accepted: 05 Jun 2019

Published online: 30 Apr 2020 *

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