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Application of genetic algorithms to the online tuning of electric drive speed controllers

Lookup NU author(s): Wander Da Silva, Professor Paul Acarnley, Emeritus Professor John Finch

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Abstract

Tuning of electric drive speed controllers is complicated by nonlinearities. Usual practice obtains controller settings with conventional linear analysis methods and then tunes the settings using trial-and-error methods during commissioning. An alternative approach, using genetic algorithms for the online tuning, is proved experimentally to optimize the drive's response efficiently. These settings are critically dependent on operating point.

Publication metadata

Author(s): Da Silva WG, Acarnley PP, Finch JW

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Industrial Electronics

Year: 2000

Volume: 47

Issue: 1

Pages: 217-219

ISSN (print): 0278-0046

ISSN (electronic): 1557-9948

Publisher: Institution of Electronic and Electrical Engineers

URL: http://dx.doi.org/10.1109/41.824145

DOI: 10.1109/41.824145

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