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Genetic algorithm optimized PI and fuzzy sliding mode speed control for DTC drives

Lookup NU author(s): Dr Shady Gadoue, Professor Damian Giaouris, Emeritus Professor John Finch


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This paper presents a detailed comparison between a conventional PI controller and a variable structure controller based on a fuzzy sliding mode strategy used for speed control in direct torque control induction motor drive. Genetic algorithms are used to tune the PI controller gains to ensure optimal performance. The performance of the two controllers are investigated and compared for different dynamic operating conditions such as of reference speed and for load torque step changes at nominal parameters and in the presence of parameter variation and imprecision. Results show that the PI controller has better performance for nominal operating conditions while the fuzzy sliding mode is more robust against parameter variation and uncertainty, and is less sensitive to external load torque disturbances with a fast dynamic response.

Publication metadata

Author(s): Gadoue SM, Giaouris D, Finch JW

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: World Congress on Engineering

Year of Conference: 2007

Pages: 475-480

ISSN: 2078-0958 (print) 2078-0966 (online)

Publisher: Newswood Ltd

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Engineering and Computer Science

ISBN: 9789889867157