Title :
Artificial intelligence approach to controlling SRM drives with manufacturing imperfections
Author :
Fahimi, B. ; Johnson, J.P. ; Ehsani, M.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., USA
Abstract :
This paper introduces the problem of parameter variation in mass production of switched reluctance motor (SRM) drive. Eccentricity has been chosen as an example to show the effects of manufacturing tolerances on the steady state and dynamics of the SRM drives. Artificial intelligence methods have been employed to overcome the effects of parameter variation on the drive control. Comparison of results with classical approaches shows a significant improvement in performance of the SRM drive
Keywords :
error compensation; intelligent control; machine control; reluctance motor drives; SRM drives; artificial intelligence; eccentricity; manufacturing imperfections; mass production; parameter variation; switched reluctance motor drive; Artificial intelligence; Electric machines; Electric variables control; Inductance; Manufacturing; Reluctance machines; Reluctance motors; Rotors; Stators; Torque;
Conference_Titel :
Emerging Technologies and Factory Automation, 1996. EFTA '96. Proceedings., 1996 IEEE Conference on
Conference_Location :
Kauai, HI
Print_ISBN :
0-7803-3685-2
DOI :
10.1109/ETFA.1996.573967
