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
fDate :
29 Jun-1 Jul 1998
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;
Conference_Titel :
Advanced Motion Control, 1998. AMC '98-Coimbra., 1998 5th International Workshop on
Conference_Location :
Coimbra
Print_ISBN :
0-7803-4484-7
DOI :
10.1109/AMC.1998.743566
