DocumentCode
2979606
Title
Generalized model for a class of Switched Reluctance Motors
Author
Pavlitov, Constantin ; Gorbounov, Yassen ; Rusinov, Radoslav ; Alexandrov, Alexandar ; Hadjov, Kliment ; Dontchev, Dimitar
Author_Institution
Dept. of Electr. Drives Autom., Tech. Univ. of Sofia, Sofia
fYear
2008
fDate
1-3 Sept. 2008
Firstpage
787
Lastpage
792
Abstract
The paper deals with the problems of identification of a class of Switched Reluctance Motors (SRM). A generalized mathematical description of different SRMs with central geometrical symmetry of active poles is suggested. Convenient simulation cellular model of the motor is presented here that is of extreme importance in order to build up a proper SRM drive. The identification of Switched Reluctance Motors is rather sophisticated task due to the fact that the stator inductance depends on both position of the rotor and the stator current. The problem is further complicated due to the influence of the air gap and the highly nonlinear characteristic of the magnetic circuit. The mathematical model of the SRM is of a high order and is described by partial differential equations. In order to avoid this complex mathematical description, artificial neural network substitutions are utilized. They simplify the process of identification and make it easy - using Matlab Simulink. A suggestion for future work is also made in the paper.
Keywords
motor drives; partial differential equations; reluctance motors; partial differential equations; reluctance motor drives; rotating machine nonlinear analysis; stator inductance; switched reluctance motors; Artificial neural networks; Inductance; Magnetic circuits; Mathematical model; Neural networks; Partial differential equations; Reluctance machines; Reluctance motors; Rotors; Stators; Artificial neural networks; Reluctance motor drives; Rotating machine nonlinear analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics and Motion Control Conference, 2008. EPE-PEMC 2008. 13th
Conference_Location
Poznan
Print_ISBN
978-1-4244-1741-4
Electronic_ISBN
978-1-4244-1742-1
Type
conf
DOI
10.1109/EPEPEMC.2008.4635363
Filename
4635363
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