scholarly journals Modelling and performance analysis of dual-channel switched reluctance motor

2015 ◽  
Vol 64 (1) ◽  
pp. 89-105
Author(s):  
Piotr Bogusz ◽  
Mariusz Korkosz ◽  
Jan Prokop

Abstract The paper is a presentation of an analysis concerning performance of a 12/8 dual-channel switched reluctance motor (DCSRM). Formulas constituting a base for a non-linear mathematical model of DCSRM are presented. Simulation and laboratory tests were carried out for the motor operating in the dual-channel and single-channel mode. The results of the field theory-based calculations are presented in the form of fluxes in individual phases expressed as functions of currents and a rotor position angle. The results of the computer simulations are shown as the static characteristics of fluxes and the torque as well as voltage, current, and torque waveforms. The results of the laboratory tests are also presented.

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 2013
Author(s):  
Md Sydur Rahman ◽  
Grace Firsta Lukman ◽  
Pham Trung Hieu ◽  
Kwang-II Jeong ◽  
Jin-Woo Ahn

In this paper, the optimization and characteristics analysis of a three-phase 12/8 switched reluctance motor (SRM) based on a Grey Wolf Optimizer (GWO) for electric vehicles (EVs) application is presented. This research aims to enhance the output torque density of the proposed SRM. Finite element method (FEM) was used to analyze the characteristics and optimization process of the proposed motor. The proposed metaheuristic GWO combines numerous objective functions and design constraints with different weight factors. Maximum flux density, current density, and motor volume are selected as the optimization constraints, which play a significant role in the optimization process. GWO performs optimization for each iteration and sends it to FEM software to analyze the performance before starting another iteration until the optimized value is found. Simulations are employed to understand the characteristics of the proposed motor. Finally, the optimized prototype motor is manufactured and performance is verified by experiment. It is shown that the torque can be increased by 120% for the same outer volume, by using the proposed method.


Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2489
Author(s):  
M. Korkosz ◽  
P. Bogusz ◽  
J. Prokop ◽  
B. Pakla ◽  
G. Podskarbi

This article presents the results of a comparative analysis of two electronically commutated brushless direct current machines intended for fault-tolerant drives. Two machines designed by the authors were compared: a 12/14 dual-channel brushless direct current motor (DCBLDCM) with permanent magnets and a 12/8 dual-channel switched reluctance motor (DCSRM). Information is provided here on the winding configuration, the parameters, and the power converters of both machines. We developed mathematical models of the DCBLDCM and DCSRM which accounted for the nonlinearity of their magnetization characteristics in dual-channel operation (DCO) and single-channel operation (SCO) modes. The static torque characteristics and flux characteristics of both machines were compared for operation in DCO and SCO modes. The waveforms of the current and the electromagnetic torque are presented for DCO and SCO operating conditions. For DCO mode, an analysis of the behavior of both machines under fault conditions (i.e., asymmetrical control, shorted coil, and open phase) was performed. The two designs were compared, and their strengths and weaknesses were indicated.


1998 ◽  
Vol 22 (4_2) ◽  
pp. 957-960 ◽  
Author(s):  
M. Kimura ◽  
T. Onda ◽  
T. Watanabe ◽  
T. Yanada ◽  
H. J. Guo ◽  
...  

2014 ◽  
Vol 532 ◽  
pp. 26-30
Author(s):  
Yue Ying Zhu ◽  
Jiang Feng Mou

The power performance of the Switched Reluctance Motor (SRM) drive used in electric vehicles is very important for improving the dynamic performance of the vehicle and matching the parameters of the vehicle power train. In order to analyses the drive performance of the SRM drive under the electric vehicle, the nonlinear dynamic model of the SRM drive is established in the MATLAB/Simulink environment. Then the vehicle dynamic load model is designed to connect with the SRM drive model, and the performance analysis of the SRM used in the developing electric vehicle is carried out based on power output and equivalent power factor. The analysis results are significant for the design and improvement of the electric vehicle.


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