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Adaptive tuning of a pi speed controller for a brushless DC motor: Optimum speed control using a neural network

Lookup NU author(s): Professor Paul Acarnley, Dr Dave Atkinson

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Abstract

This paper presents a method of adjusting the gains of a PI speed controller adaptivel) to give the minimum integral absolute error between the speed demand and the output response for a brushless dc drive. A feedforw ard 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 ii ith speed demand and load set point.© 2004 IEEE.

Publication metadata

Author(s): Balluq T, Acarnley P, Atkinson D

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: IEEE International Symposium on Industrial Electronics

Year of Conference: 2004

Pages: 459-464

ISSN: 9780780383043

Publisher: IEEE

URL: http://dx.doi.org/10.1109/ISIE.2004.1571851

DOI: 10.1109/ISIE.2004.1571851

Library holdings: Search Newcastle University Library for this item

ISBN: 0780383044

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