Abstract
This paper presents a novel analytical model for a switched-reluctance machine (SRM) based on decomposition of its inherent double joint magnetic saliencies due to rotor and stator salient poles and saturation of magnetic field at high stator currents. with this method, the magnetic characteristics of the motor, such as flux linkage and incremental inductance, are decomposed to vector functions of rotor position and phase current. Dynamic state and torque equations for the SRM are derived on the basis of this representation. the proposed model is appropriate for online identification and for sensor less position control algorithms. It is easy to implement and computationally efficient. Comparison of the predicted motor magnetic characteristics to machine data from finite-element analysis verifies the accuracy of the model.
Recommended Citation
F. R. Salmasi and B. Fahimi, "Modeling Switched-Reluctance Machines by Decomposition of Double Magnetic Saliencies," IEEE Transactions on Magnetics, vol. 40, no. 3, pp. 1556 - 1561, Institute of Electrical and Electronics Engineers, May 2004.
The definitive version is available at https://doi.org/10.1109/TMAG.2004.826624
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Flux linkage; Incremental inductance; Magnetic saliency; Model identification
International Standard Serial Number (ISSN)
0018-9464
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 May 2004
