Application of genetic algorithms to the online tuning of electricdrive speed controllers
da Silva, W.G.; Acarnley, P.P.; Finch, J.W.
Industrial Electronics, IEEE Transactions on
Volume 47, Issue 1, Feb 2000 Page(s):217 - 219
Digital Object Identifier   10.1109/41.824145
Summary: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

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