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

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3 Author(s)
da Silva, W.G. ; Dept. de Ciencias da Engenharia, Inst. Superior de Ensino e Pesquisa de Inst., Brazil ; Acarnley, P.P. ; Finch, J.W.

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

Published in:

Industrial Electronics, IEEE Transactions on  (Volume:47 ,  Issue: 1 )

Date of Publication:

Feb 2000

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