Application of genetic algorithms to the online tuning of electricdrive speed controllers
da Silva, W.G.
Acarnley, P.P.
Finch, J.W.
Dept. de Ciencias da Engenharia, Inst. Superior de Ensino e Pesquisa de Inst.;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: Feb 2000
Volume: 47,
Issue: 1
On page(s): 217-219
ISSN: 0278-0046
References Cited: 6
CODEN: ITIED6
INSPEC Accession Number: 6507851
Digital Object Identifier: 10.1109/41.824145
Current Version Published: 2002-08-06
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
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