Harmonic minimisation in direct torque controlled induction motor using neural network controller
by Sudhakar Ambarapu; M. Vijaya Kumar
International Journal of Energy Technology and Policy (IJETP), Vol. 16, No. 5/6, 2020

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.

Online publication date: Thu, 03-Sep-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Energy Technology and Policy (IJETP):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com