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