By Topic

Sensorless control of SRM by the aid of artificial neural network adaptive reference model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Constantin, P. ; Tech. Univ. of Sofia, Sofia, Bulgaria ; Chen Hao ; Colak, I. ; Tasho, T.
more authors

This paper deals with an adaptive reference controlled SRM, based on a virtual model implemented by the aid of artificial neural networks. That makes the model quite precise and adequate and permits real SRM and full-order observer to work in parallel. This observer promotes the implementation of sensorless control.

Published in:

Power Electronics and Applications (EPE 2011), Proceedings of the 2011-14th European Conference on

Date of Conference:

Aug. 30 2011-Sept. 1 2011