Title :
Application of genetic algorithms to the online tuning of electric drive speed controllers
Author :
da Silva, Wander G. ; Acarnley, Paul P. ; Finch, John W.
Author_Institution :
Dept. de Ciencias da Engenharia, Inst. Superior de Ensino e Pesquisa de Inst., Brazil
fDate :
2/1/2000 12:00:00 AM
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
Keywords :
control system synthesis; electric drives; genetic algorithms; machine control; machine testing; machine theory; optimal control; tuning; velocity control; control design; control performance; electric drive; genetic algorithms; online speed controller tuning; response optimisation; Biological cells; Brushless DC motors; Control nonlinearities; DC motors; Electronic equipment testing; Genetic algorithms; Pi control; Proportional control; Velocity control; Voltage control;
Journal_Title :
Industrial Electronics, IEEE Transactions on
