Optimized torque control of switched reluctance motor at all operational regimes using neural network Conference Paper

abstract

• A dynamic model of switched reluctance motor which takes into account the effect of magnetic nonlinearity, static torque, and flux linkage is developed. The optimal control parameters which maximizes torque per ampere, are generated off-line from the dynamic model. The dynamic model also uses two separate neural networks for torque control at low speed and torque control at high speed.

name of conference

• Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242)

authors

• Ehsani, Mehrdad

published proceedings

• CONFERENCE RECORD OF THE 1998 IEEE INDUSTRY APPLICATIONS CONFERENCE, VOLS 1-3

author list (cited authors)

• Rahman, K. M., Suresh, G., Fahimi, B., Rajarathnam, A. V., & Ehsani, M.

citation count

• 10

complete list of authors

• Rahman, KM||Suresh, G||Fahimi, B||Rajarathnam, AV||Ehsani, M

publication date

• January 1998

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Conference Record of the IEEE Industry Applications Conference  Journal

Digital Object Identifier (DOI)

• 10.1109/ias.1998.732404

International Standard Book Number (ISBN) 10

• 0-7803-4943-1

start page

• 701

end page

• 708

volume

• 1

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fias.1998.732404