DocumentCode
2532041
Title
A comparative study of a PI, neural network and fuzzy genetic approach controllers for an AC-drive
Author
Cardoso, F.D.S. ; Martins, J.F. ; Pires, V. Fernão
Author_Institution
Escola Superior de Tecnol., Inst. Politecnico de Setubal, Setubal, Portugal
fYear
1998
fDate
29 Jun-1 Jul 1998
Firstpage
375
Lastpage
380
Abstract
An increasing number of applications in high performing electrical drive systems use, nowadays, squirrel-cage induction motors. In this paper we use fuzzy genetic, neural network and PI approaches to control the speed of a field oriented AC-drive. The control methods and performances are presented and compared
Keywords
angular velocity control; fuzzy control; genetic algorithms; induction motor drives; learning (artificial intelligence); neurocontrollers; PI controller; fuzzy control; genetic algorithm; induction motor drives; learning algorithm; neural network; neurocontrol; speed control; squirrel-cage induction motors; Control theory; Electric variables control; Fuzzy control; Fuzzy neural networks; Genetics; Induction motors; Mathematical model; Neural networks; Pulse width modulation inverters; Stators;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Motion Control, 1998. AMC '98-Coimbra., 1998 5th International Workshop on
Conference_Location
Coimbra
Print_ISBN
0-7803-4484-7
Type
conf
DOI
10.1109/AMC.1998.743566
Filename
743566
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