Artificial intelligence approach to controlling SRM drives with manufacturing imperfections Conference Paper

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.

name of conference

• Proceedings 1996 IEEE Conference on Emerging Technologies and Factory Automation. ETFA '96

authors

• Ehsani, Mehrdad

published proceedings

• ETFA '96 - 1996 IEEE CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, PROCEEDINGS, VOLS 1 AND 2

author list (cited authors)

• Fahimi, B., Johnson, J. P., & Ehsani, M.

citation count

• 3

complete list of authors

• Fahimi, B||Johnson, JP||Ehsani, M

publication date

• January 1996

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

Digital Object Identifier (DOI)

• 10.1109/etfa.1996.573967

International Standard Book Number (ISBN) 10

• 0-7803-3685-2

start page

• 623

end page

• 628

volume

• 2

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fetfa.1996.573967