Browse by author
Lookup NU author(s): Wander Da Silva,
Professor Paul Acarnley,
Emeritus Professor John Finch
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
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.
Author(s): Da Silva WG, Acarnley PP, Finch JW
Publication type: Article
Publication status: Published
Journal: IEEE Transactions on Industrial Electronics
ISSN (print): 0278-0046
ISSN (electronic): 1557-9948
Publisher: Institution of Electronic and Electrical Engineers
Altmetrics provided by Altmetric