By Topic

Adaptive tuning of a PI speed controller for a brushless DC motor: optimum speed control using a neural network

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
$33 $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

3 Author(s)
T. N. N. El-Balluq ; Sch. of Electr., Electron. & Comput. Eng., Newcastle upon Tyne Univ., UK ; P. P. Acarnley ; D. J. Atkinson

This paper presents a method of adjusting the gains of a PI speed controller adaptively to give the minimum integral absolute error between the speed demand and the output response for a brushless DC drive. A feedforward neural network, trained using a genetic algorithm, adjusts the controller gains to improve the speed response to changes in speed demand and load. Experimental results demonstrate how the gain values vary with speed demand and load set point.

Published in:

Industrial Electronics, 2004 IEEE International Symposium on  (Volume:1 )

Date of Conference:

4-7 May 2004