International Journal of Power Electronics and Drive Systems (IJPEDS)
Vol 3, No 3: September 2013

Neural Network Controllers in DTC of Synchronous Motor Drives

Sudhakar Ambarapu (JNT University)
M. Vijaya Kumar (JNT University)



Article Info

Publish Date
28 Jul 2013

Abstract

In recent times, permanent magnet synchronous motors (PMSM) have gained numerous industrial applications, because of simple structure, high efficiency and ease of maintenance. But these motors have a nonlinear mathematical model. To resolve this problem several studies have suggested the application of vector control (VC) and direct torque control (DTC) with soft-computing (SC) techniques. This paper presents neuro direct torque control (NDTC) of PMSM. Hence this paper aims to present a technique to control speed and torque with reduced ripple compared to previous techniques. The outputs of Artificial Neural Network(ANN) controller mechanism is compared with that of classical DTC and the results demonstrate the influence of ANN is improved compared to classical DTC topology. The system is also verified and proved to be operated stably with reduced torque ripple, very low speed, sudden speed reversals, at low torque and at high torque. The proposed method validity and effectiveness has been verified by computer simulations using Matlab/Simulink®. These results are compared with the ones obtained with a classical DTC using PI speed controller.DOI: http://dx.doi.org/10.11591/ijpeds.v3i3.4023

Copyrights © 2013






Journal Info

Abbrev

IJPEDS

Publisher

Subject

Control & Systems Engineering Electrical & Electronics Engineering

Description

International Journal of Power Electronics and Drive Systems (IJPEDS, ISSN: 2088-8694, a SCOPUS indexed Journal) is the official publication of the Institute of Advanced Engineering and Science (IAES). The scope of the journal includes all issues in the field of Power Electronics and drive systems. ...