1
Department of Electrical Engineering, Sharif University of Technology Tehran, Iran
2
University of Kashan
10.24200/sci.2025.65140.9346
Abstract
Switched Reluctance Motors (SRMs) are classified into two types, rotary and linear, based on the type of movement. The linear switched reluctance motors (LSRMs) have the same structure as rotary types and therefore they have all the advantages of SRMs. In this paper, for the LSRM, two analytical models based on field equations in electromagnetics and Magnetic Equivalent Circuit (MEC) method are presented. The static characteristic of the flux linked with a phase is predicted in the fully aligned and fully unaligned as well as intermediate positions of the mover. Then, based on the phase voltage equation, the dynamic analysis of the motor is done and the instantaneous phase current and instantaneous thrust force are determined. By applying the developed analytical models to a three-phase LSRM, the simulation results are presented and compared with those of the Finite Element Method (FEM) for validation. The comparisons clearly show that the presented models have appropriate calculation speed and accuracy.
Golzarzadeh, M. , Nasiri-Gheidari, Z. , Oraee, H. and Ganji, B. (2025). Integrated Analytical Modeling to Predict Performance Characteristics of Linear Switched Reluctance Motor. Scientia Iranica, (), -. doi: 10.24200/sci.2025.65140.9346
MLA
Golzarzadeh, M. , , Nasiri-Gheidari, Z. , , Oraee, H. , and Ganji, B. . "Integrated Analytical Modeling to Predict Performance Characteristics of Linear Switched Reluctance Motor", Scientia Iranica, , , 2025, -. doi: 10.24200/sci.2025.65140.9346
HARVARD
Golzarzadeh, M., Nasiri-Gheidari, Z., Oraee, H., Ganji, B. (2025). 'Integrated Analytical Modeling to Predict Performance Characteristics of Linear Switched Reluctance Motor', Scientia Iranica, (), pp. -. doi: 10.24200/sci.2025.65140.9346
CHICAGO
M. Golzarzadeh , Z. Nasiri-Gheidari , H. Oraee and B. Ganji, "Integrated Analytical Modeling to Predict Performance Characteristics of Linear Switched Reluctance Motor," Scientia Iranica, (2025): -, doi: 10.24200/sci.2025.65140.9346
VANCOUVER
Golzarzadeh, M., Nasiri-Gheidari, Z., Oraee, H., Ganji, B. Integrated Analytical Modeling to Predict Performance Characteristics of Linear Switched Reluctance Motor. Scientia Iranica, 2025; (): -. doi: 10.24200/sci.2025.65140.9346