DocumentCode :
2131058
Title :
Speed tracking performance of fuzzy based vector control of induction motor drives for hybrid electric vehicles
Author :
Khan, Mariam ; Kar, Narayan C.
Author_Institution :
Dept. of Electr.&Comput. Eng., Univ. of Windsor, Windsor, ON
fYear :
2008
fDate :
4-7 May 2008
Abstract :
This paper demonstrates the improved speed tracking performance of fuzzy based indirect field oriented control of induction motor drives in comparison to a conventional PI control in hybrid electric vehicle (HEV) application. Both types of controllers are subjected to changes in loading conditions and rotor resistance which is expected to vary with the high temperature of HEV drive environment. Results indicate that fuzzy controller exhibits faster speed response, higher acceleration with higher disturbance rejection capability for a more robust control desired for traction purposes.
Keywords :
angular velocity control; fuzzy control; hybrid electric vehicles; induction motor drives; machine vector control; fuzzy based indirect field oriented control; fuzzy based vector control; hybrid electric vehicles; induction motor drives; loading conditions; robust control; rotor resistance; speed tracking performance; Acceleration; Electric resistance; Fuzzy control; Hybrid electric vehicles; Induction motor drives; Machine vector control; Pi control; Robust control; Rotors; Temperature control; Fuzzy logic; hybrid electric vehicles; indirect field oriented control; induction motor drives;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on
Conference_Location :
Niagara Falls, ON
ISSN :
0840-7789
Print_ISBN :
978-1-4244-1642-4
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2008.4564606
Filename :
4564606
Link To Document :
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