DocumentCode
1824153
Title
Improvement in speed control of a six-phase induction motor using fuzzy control and genetic algorithm
Author
Kargar, A. ; Ghanbari, D. ; Abjadi, Navid Reza ; Rahmati, K.
Author_Institution
Eng. Fac., Shahrekord Univ., Shahrekord, Iran
fYear
2011
fDate
8-10 Sept. 2011
Firstpage
337
Lastpage
342
Abstract
This paper presents an application of a self tuning fuzzy control technique for speed control of a six-phase induction motor (SPIM). The torque ripple of a SPIM is lower than a three-phase IM. This paper proposes a rotor flux-oriented control technique for a SPIM to decouple torque and flux control. Using the genetic algorithm (GA) with a simple cost function for tuning of the fuzzy controller parameters, a perfect speed control for SPIM is achieved.
Keywords
angular velocity control; fuzzy control; genetic algorithms; induction motors; machine vector control; torque control; GA; SPIM; cost function; genetic algorithm; rotor flux-oriented control technique; self-tuning fuzzy control technique; six-phase induction motor; speed control; three-phase IM; torque control; torque ripple;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines and Power Electronics and 2011 Electromotion Joint Conference (ACEMP), 2011 International Aegean Conference on
Conference_Location
Istanbul
Print_ISBN
978-1-4673-5004-4
Electronic_ISBN
978-1-4673-5002-0
Type
conf
DOI
10.1109/ACEMP.2011.6490620
Filename
6490620
Link To Document