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1

Wang, Zhi Gang, Ping Tan, and Sui Chun Qu. "Analysis of Main Dimensions Effects on Performance of Transverse Flux Switched Reluctance Motors." Advanced Materials Research 383-390 (November 2011): 1921–25. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.1921.

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The transverse flux switched reluctance motor (TFSRM) has the advantage of switched reluctance motors and transverse flux motor. This paper examines the effects of the main dimensions such as the polar distance, the stator core, the length of air gap ,etc, on the performance.
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2

Baoming, Ge, AnÍbal T. de Almeida, and Fernando J. T. E. Ferreira. "Design of Transverse Flux Linear Switched Reluctance Motor." IEEE Transactions on Magnetics 45, no. 1 (January 2009): 113–19. http://dx.doi.org/10.1109/tmag.2008.2006193.

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3

Cheng-Tsung Liu, Kun-Shian Su, and Jyh-Wei Chen. "Operational stability enhancement analysis of a transverse flux linear switched-reluctance motor." IEEE Transactions on Magnetics 36, no. 5 (2000): 3699–702. http://dx.doi.org/10.1109/20.908945.

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4

Łukaniszyn, Marian, Marcin Kowol, and Janusz Kołodziej. "Optimization of a two-phase transverse flux switched reluctance motor with an outer rotor." Archives of Electrical Engineering 61, no. 4 (November 1, 2012): 567–78. http://dx.doi.org/10.2478/v10171-012-0042-y.

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Abstract This paper presents optimization results for a two-phase, modular transverse flux switched reluctance motor (TFSRM) with an outer rotor. In particular, the main disadvantage of the considered motor structure, that is the zero starting torque in some rotor positions, is eliminated by construction optimization. A numerical model of the motor developed in the Flux3D program is coupled with a Matlab-based evolutionary algorithm for optimization of construction parameters of the magnetic circuit. The elaborated algorithm is also connected with a database to limit the computation costs. Three objective functions are taken into account for the motor integral parameter improvement. The fundamental role of a type of an optimization criterion function is comparatively analyzed and a new effective criterion function is introduced.
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5

Wang, Feng, Zhiqiang Wu, Yajie Li, and Yuancen Wang. "Transverse nonlinear vibration of the eccentric rotor in a 12/8 switched reluctance motor." Engineering Computations 37, no. 8 (April 8, 2020): 2711–33. http://dx.doi.org/10.1108/ec-03-2019-0107.

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Purpose To investigate transverse vibration of the eccentric rotor in a 12/8 poles switched reluctance motor (SRM), a transverse analytical vibration model is built by finite element method (FEM) under the interaction of radial magnetic resultant and vibration displacement. External forces, including radial magnetic resultant and centrifugal force, are also derived in detail, according to the variation of airgap and current and other intermediate parameters with rotation angle. Design/methodology/approach The transverse vibration response of the eccentric rotor including radial magnetic resultant and vibration displacement is solved by Newmark-β method, after inputting the currents of three phase windings under angle position control strategy. The basic characteristics of radial magnetic resultant and vibration displacement are reflected in time and frequency domain. Findings The magnetic resultant vector of the eccentric rotor presents multi-petals star geometric shape. The frequency distribution of magnetic resultant relates to rotation speed, current waveform and the least common multiple of the stator and rotor teeth. However, the frequency distribution of the vibration displacement also relates closely to the first-order critical whirl speed of the rotor. When the rotor is running at certain speeds, it will display superharmonic resonance and show abundant displacement locus. Originality/value By using this analytical model and solving process proposed in this paper, the nonlinear coupled vibration response of the eccentric rotor in SRM can be analyzed and discussed rapidly; only the stator’s winding currents obtained by experiment or electromagnetic simulation is needed as input.
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6

Wang, Feng, Zhiqiang Wu, Yajie Li, and Yuancen Wang. "Transverse nonlinear vibration modeling and response of eccentric rotor in a switched reluctance motor." Modern Physics Letters B 34, no. 01 (December 6, 2019): 2050007. http://dx.doi.org/10.1142/s0217984920500074.

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In order to investigate the transverse vibration of eccentric rotor in a 12/8 switched reluctance motor (SRM), a whole nonlinear coupled vibration equation of eccentric rotor is built with finite element method (FEM). Based on single tooth radial force and the key parameters variation with rotor position, an analytical formula of magnetic resultant taking into account of the rotor’s vibration displacement is deduced in detail, which is applied onto the intermediate node of eccentric rotor in form of concentrated force. Once the windings currents obtained either by experiments or numerical simulations is input, the vibration response can be solved numerically by Newmark-[Formula: see text] method. Six phase windings currents under angle position control (APC) strategy are chosen as an example and the vibration response are discussed to reflect intrinsic vibration characteristics. From radical resultant vector and its amplitude spectrum, it is proved that the magnetic resultant vector presents multi-petals star shape. The frequency components in magnetic resultant are [Formula: see text], [Formula: see text], and [Formula: see text], [Formula: see text], related to rotational speed, current waveform and minimum common multiple of stator and rotor teeth. However, from displacement locus and its amplitude spectrum, the frequency component of the rotor vibration displacement is also related to the critical whirl speed of the rotor. Transverse superharmonic resonance of eccentric rotor appears at some particular rotational speed and result in a larger rotor vibration. If the rotor runs at the superharmonic speed of 1/19 of first-order critical whirl speed, the maximum vibration displacement radius of the eccentric rotor reaches almost four times that of the rated speed. The vibration locus at these particular speed show rich diversity.
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7

Zhang, Zhu, Norbert C. Cheung, K. W. E. Cheng, X. D. Xue, and J. K. Lin. "Longitudinal and Transversal End-Effects Analysis of Linear Switched Reluctance Motor." IEEE Transactions on Magnetics 47, no. 10 (October 2011): 3979–82. http://dx.doi.org/10.1109/tmag.2011.2154309.

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8

ÜSTKOYUNCU, Nurettin, and Krishnan RAMU. "A performance comparison of conventional and transverse flux linear switched reluctance motors." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 23 (2015): 974–86. http://dx.doi.org/10.3906/elk-1305-214.

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9

Kaliappan, Dr Kannan. "Sensorless Control of Switched Reluctance Motor." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3494–97. http://dx.doi.org/10.22214/ijraset.2021.35927.

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The main purpose of this project is to develop a sensorless control of the switched reluctance motor. As we know the use of switched reluctance has been increasing .Many industries and all other started switching to the switched reluctance motor ,due to there rugged structure and its capability to withstand harsh environments .In this paper we control the switched reluctance motor by controlling the different blocks in the feed back system in the matlab therefore torque controlled .As the switched reluctance motor is widely used in the industry we need to control the switched reluctance motor without using the sensors. Here main aim is to avoid the use of position sensors in the system.
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10

HIGUCHI, Tsuyoshi. "Segment Type Switched Reluctance Motor." Journal of the Institute of Electrical Engineers of Japan 137, no. 12 (2017): 833–36. http://dx.doi.org/10.1541/ieejjournal.137.833.

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11

Morón, Carlos, Alfonso Garcia, and Jose Andrés Somolinos. "Mathematical Model Switched Reluctance Motor." Key Engineering Materials 644 (May 2015): 87–91. http://dx.doi.org/10.4028/www.scientific.net/kem.644.87.

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This paper describes a mathematical model of switched reluctance motor (SRM). The mathematical model of the SR motor is nonparametric and can only be established with experimental data, instead of an analytical representation. Because the reluctance varies with rotor position and magnetic saturation is part of the normal operation of SR motors, there is no simple analytical expression for the magnetic field produced by the phase windings. The shape of phase current before commutation is of interest because it varies widely depending on when the phase winding is excited and what the rotor speed is. To illustrate this effect, two step response simulations were done here in Matlab/Simulink. The SR motor model used in these two simulations is a 6/4 linear magnetics model, the same structure as the experimental SR motor. For the first simulation, a step voltage is fed into phase A and the initial rotor position is set to be 1o instead of 0o so that the rotor will move in the positive direction. The results show that the rotor stops at 45o after some oscillation which is the aligned position of this phase A. For the second simulation, a step voltage is fed into phase C. The initial position is 0o. According to this, the rotor will move towards the aligned position of phase C, i.e. 15o.
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12

Han, Jichao, Baojun Ge, Kai Zhang, Yang Wang, and Chao Wang. "Influence of Control and Structure Parameters on the Starting Performance of a 12/8 Pole Switched Reluctance Motor." Energies 13, no. 14 (July 21, 2020): 3744. http://dx.doi.org/10.3390/en13143744.

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To investigate the influence of control and structure parameters on the starting performance of a switched reluctance motor, a 12/8 pole switched reluctance motor is analyzed in this paper. The novel field-circuit coupled finite element method of switched reluctance motor is proposed in the paper. The influence of the controller on the switched reluctance motor is considered. The influence of rotor initial position angle, starting mode, starting current, and structure parameters on the starting performance of the switched reluctance motor is studied using the field-circuit coupled finite element method. The starting performance of the switched reluctance motor is obtained under the different control and structure parameters. The alternating starting mode of single- and two-phase winding can improve the starting torque of switched reluctance motor (SRM). As the stator pole arc coefficient increases, the starting torque of SRM increases. The appropriate reduction of the air gap length can improve the starting torque of SRM. Experimental results of the prototype are compared with the calculation results, which verifies the reliability of the calculation method and accuracy of the calculation results.
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13

Morón, Carlos, Enrique Tremps, Angel Gomez, Alfonso Garcia, and Jose Andrés Somolinos. "Switched Reluctance Motors Control." Key Engineering Materials 605 (April 2014): 247–50. http://dx.doi.org/10.4028/www.scientific.net/kem.605.247.

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A current controlled switched reluctance motor (SRM) drive for variable speed applications with efficiency optimization is presented. A robust, modular and flexible prototyping SRM drives is proposed. It is composed of a power electronic block, a driver board, a measurement and interface board and a DSP controller board. Firing angles are computed online, the turn-on is calculated by means of the Boses rule, and the turn-off is calculated using the general theory of the optimal turn-off angle proposed by Gribble. In steady state operation, tie initial selection of firing angles is fine-tuned by means of an algorithm that minimizes the input power of the drive. A 6/4 switched reluctance motor drive prototype was tested and the experimental results show an improvement in online efficiency, a good steady-state performance and no deterioration in the dynamic response. An efficiency comparison with a commercial vector-controlled induction motor drive of the same size is also included.
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14

Murai, Y., Ji Cheng, and M. Yoshida. "New soft-switched/switched-reluctance motor drive circuit." IEEE Transactions on Industry Applications 35, no. 1 (1999): 78–85. http://dx.doi.org/10.1109/28.740848.

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15

Kiruthika, D. "Speed Controller of Switched Reluctance Motor." Indian Journal of Science and Technology 7, no. 8 (August 20, 2014): 1043–48. http://dx.doi.org/10.17485/ijst/2014/v7i8.4.

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16

ATHANI, VITHAL V., and VINOD N. WALIVADEKAR. "EQUIVALENT CIRCUIT FOR SWITCHED RELUCTANCE MOTOR." Electric Machines & Power Systems 22, no. 4 (July 1994): 533–43. http://dx.doi.org/10.1080/07313569408955585.

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17

Obradović, I. "Switched reluctance motor for rail traction." IEE Proceedings B Electric Power Applications 133, no. 1 (1986): 46. http://dx.doi.org/10.1049/ip-b.1986.0008.

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18

Chappell, P. H. "Current pulses in switched reluctance motor." IEE Proceedings B Electric Power Applications 135, no. 5 (1988): 224. http://dx.doi.org/10.1049/ip-b.1988.0026.

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19

Ahmed, Firdausa, Gaurav Kumar, Madhurjya Dev Choudhury, and Karuna Kalita. "Bridge Configured Wounded Switched Reluctance Motor." Procedia Engineering 144 (2016): 817–24. http://dx.doi.org/10.1016/j.proeng.2016.05.091.

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20

Pan, J. F., Yu Zou, and Guangzhong Cao. "An Asymmetric Linear Switched Reluctance Motor." IEEE Transactions on Energy Conversion 28, no. 2 (June 2013): 444–51. http://dx.doi.org/10.1109/tec.2013.2252178.

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21

Wang, Xilian, Baoming Ge, Zhaoli Wu, and Fernando J. T. E. Ferreira. "A novel bearingless switched reluctance motor." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 31, no. 6 (November 9, 2012): 1681–95. http://dx.doi.org/10.1108/03321641211267065.

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22

Afjei, E., and H. A. Toliyat. "A Novel Multilayer Switched Reluctance Motor." IEEE Power Engineering Review 22, no. 4 (April 2002): 73. http://dx.doi.org/10.1109/mper.2002.4312122.

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23

Materu, P. N., and R. Krishnan. "Estimation of switched reluctance motor losses." IEEE Transactions on Industry Applications 28, no. 3 (1992): 668–79. http://dx.doi.org/10.1109/28.137456.

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24

Afjei, E. S., and H. A. Toliyat. "A novel multilayer switched reluctance motor." IEEE Transactions on Energy Conversion 17, no. 2 (June 2002): 217–21. http://dx.doi.org/10.1109/tec.2002.1009471.

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25

Bose, Bimal K., Timothy J. E. Miller, Paul M. Szczesny, and William H. Bicknell. "Microcomputer Control of Switched Reluctance Motor." IEEE Transactions on Industry Applications IA-22, no. 4 (July 1986): 708–15. http://dx.doi.org/10.1109/tia.1986.4504782.

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26

Stephenson, J. M., and G. C. Jenkinson. "Single-phase switched reluctance motor design." IEE Proceedings - Electric Power Applications 147, no. 2 (2000): 131. http://dx.doi.org/10.1049/ip-epa:20000176.

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27

Ehsani, M. "Switched reluctance motor drives — recent advances." Sadhana 22, no. 6 (December 1997): 821–36. http://dx.doi.org/10.1007/bf02745847.

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28

Kozakevych, I. A. "SWITCHED RELUCTANCE MOTOR WIND GENERATOR SYSTEM." Computer Science, Information Technology, Automation 5, no. 1 (August 1, 2019): 63–73. http://dx.doi.org/10.31721/2414-9055.2019.5.1.63.

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29

Xu, Gang. "Research on system simulation based on fuzzy self-tuning." Journal of Physics: Conference Series 2183, no. 1 (January 1, 2022): 012027. http://dx.doi.org/10.1088/1742-6596/2183/1/012027.

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Abstract This paper introduces the principle of fuzzy control. On this basis, a fuzzy self-tuning PID controller is designed to the requirements of SRD system. The fuzzy self-tuning PID controller is introduced into the switched reluctance motor speed regulation system, the switched reluctance motor speed regulation system based on fuzzy self-tuning PID is simulated and compared with the conventional PID switched reluctance motor speed regulation system. The comparison results show that the application of fuzzy self-tuning PID controller in the switched reluctance motor speed regulation system can make the speed regulation system obtain good dynamic Static performance.
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30

Tariq, Iqra, Raheel Muzzammel, Umar Alqasmi, and Ali Raza. "Artificial Neural Network-Based Control of Switched Reluctance Motor for Torque Ripple Reduction." Mathematical Problems in Engineering 2020 (November 30, 2020): 1–31. http://dx.doi.org/10.1155/2020/9812715.

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Switched reluctance motor is acquiring major attention because of its simple design, economic development, and reduced dependability. These attributes make switched reluctance motors superior to other variable speed machines. The major challenge associated with the development of a switched reluctance motor is its high torque ripple. Torque ripple produces noise and vibration, resulting in degradation of its performance. Various techniques are developed to cope with torque ripples. Practically, there exists not a single mature technique for the minimization of torque ripples in switched reluctance motors. In this research, a switched reluctance motor is modelled and analysed. Its speed and current control are implemented through artificial neural networks. Artificial neural network is found to be a promising technique as compared with other techniques because of its accuracy, reduced complexity, stability, and generalization. The Levenberg–Marquardt algorithm is utilized in artificial neural networks due to its fast and stable convergence for training and testing. It is found from research that artificial neural network-based improved control shows better performance of the switched reluctance motor. Realization of this technique is further validated from its mean square error analysis. Operating parameters of the switched reluctance motor are improved significantly. Simulation environment is created in Matlab/Simulink.
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31

Ahn, Jin-Woo, and Dong-Hee Lee. "Performance of Passive Boost Switched Reluctance Converter for Single-phase Switched Reluctance Motor." Journal of Electrical Engineering and Technology 6, no. 4 (July 1, 2011): 505–12. http://dx.doi.org/10.5370/jeet.2011.6.4.505.

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32

Wang, Chen Ning, Shi Jun Chen, and Chang Li Zha. "The Design of Switched Reluctance Motor Drive System Based on Single Chip Microcontroller and CPLD." Applied Mechanics and Materials 263-266 (December 2012): 3–8. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.3.

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A three-phase 12/8 pole switched reluctance motor drive system is introduced based on single chip microcontroller STC12LE5410AD and CPLD EPM240T100C5N. The design details of the controller are described in this application .To solve the nonlinear problem of switched reluctance motor, PI control algorithms are used to achieve the motor current control loop and speed control loop. The experimental results show that the hardware and software design of switched reluctance motor drive system are reasonable, and the proposed dual closed-loop control method is correct and feasible.
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33

Zheng, Yun Hong. "MicroBlaze-Based Digital Controller for Switched Reluctance Motor Research and Implementation." Advanced Materials Research 468-471 (February 2012): 1997–2001. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.1997.

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The switched reluctance motor digital controller design, which took Xilinx's FPGA chip soft-core MicroBlaze as the core and applied in the six-phase 12/10 switched reluctance motor, was introduced in this study. C language was used in MicroBlaze soft-core digital controller, and Verilog HDL language was used in logic design. logic synthesis mapped to both FPGA hardware circuits, and ultimately downloaded to the FPGA chip, real-time control of the motor. Experimental results show that the digital controller designed to meet the real-time switched reluctance motor, the control accuracy requirements.
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34

Zhang, Jing Jun, Rong Long, Hai Jun Zhang, and Xi Qing Ma. "Analytical and FEM Modeling of Electormagnetic Radial Force for Switched Reluctance Motor." Applied Mechanics and Materials 121-126 (October 2011): 3765–69. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.3765.

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This paper bases on the magnetic method combining the tensor maxwell in considering magnetic saturation method, in considering magnetic saturation effect and actual switched reluctance motor stator and rotor under the premise of very wide, deduces and sets up a analytical models of radial force which can apply directly to switched reluctance motor stator and rotor with unequal extremely arc equal two circumstances analytical models of radial force. This model conforms to the actual switched reluctance motor structure and operation characteristics and structure optimization design for switched reluctance motor, electromagnetic vibration and noise prediction and control provides theory basis. With a prototype as an example, this paper calculated results and the analytical model of the finite element analysis of the results compared to verify the correctness of the analytical model built.
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35

Wang, T., Y. Huo, X. Zhang, and Q. Wang. "Control System of Switched Reluctance Linear Motor Drive Based on TMS320F2812 DSP." Applied Mechanics and Materials 416-417 (September 2013): 606–11. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.606.

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The paper presents the drive system of the developed Switched Reluctance linear motor in hardware and in software. The structure and photograph of the three-phase 6/4 structure Switched Reluctance linear motor are given. The main circuit topology of power converter is also given. The designed software for TMS320F2812 DSP is described, includes main program, functional subroutine module and interrupt service subroutine module. The Switched Reluctance linear motor drive prototype was tested experimentally. The velocity curves and the phase current waveforms are given.
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36

Wu, Hong Xing, Qing Jie Sun, Ji Gui Zheng, and Shou Ming Zhou. "Torque Ripple Reduction of Switched Reluctance Motor by Optimizing Stator Pole Type." Applied Mechanics and Materials 494-495 (February 2014): 1395–400. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1395.

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The torque ripple is the important restriction affecting the promotion and application of switched reluctance motor, the analytic expressions to calculate switched reluctance motors tangential force and radial force are derived in this paper, based on analyzing the cause of switched reluctance motor vibration and torque ripple. By improving the stator poles structure, the torque near the commutation points is compensated, which smooth the wave of air gap magnetic field to reduce torque ripple when the stators and the rotors salient poles coincide. In this paper, three structures that puts wedge angle on both sides of the stator poles is presented, and analysis of torque ripple is made. Studies shows that the right size of wedge angle can effectively inhibit the switched reluctance motor torque fluctuations.
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37

Yang, Jin Ming, Qing Zhong, Norbert C. Cheung, and Shi Wei Zhao. "On Control of Planar Switched Reluctance Motor." IFAC Proceedings Volumes 41, no. 2 (2008): 15702–7. http://dx.doi.org/10.3182/20080706-5-kr-1001.02655.

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38

Omac, Zeki, Hasan Kurum, and Ahmet Hakan Selcuk. "Digital Current Control of Switched Reluctance Motor." International Journal of Electrical and Power Engineering 5, no. 1 (January 1, 2011): 54–61. http://dx.doi.org/10.3923/ijepe.2011.54.61.

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39

Pereira de Paula, Pedro, Wanderlei Marinho da Silva, José Roberto Cardoso, and Silvio Ikuyo Nabeta. "Switched Reluctance Motor And Generator Performance Simulation." Eletrônica de Potência 8, no. 2 (November 1, 2003): 69–77. http://dx.doi.org/10.18618/rep.2003.2.069077.

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40

Chowdhury, Juan, Gaurav Kumar, Karuna Kalita, Kari Tammi, and Sashindra K. Kakoty. "A review on linear switched reluctance motor." Rakenteiden Mekaniikka 50, no. 3 (August 21, 2017): 261–70. http://dx.doi.org/10.23998/rm.65121.

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Switched reluctance motors have been extensively studied by researchers for their unparalleled advantages in wide range of applications. The linear versions of it, possessing similar attributes and prospects, have been developed in recent years. Owing to their frugal design, robust built and high force density, the linear switched reluctance motors (LSRM) has had significant stages of development and optimization. The flexibility in design and operation makes LSRM a prime contender for any linear motor-actuator application. This paper provides a bird’s eye view across its developmental stages and its various aspects in design, analysis and control. The following content discusses the salient points of research and the contribution by researchers in this field.
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41

Nakamura, W., S. Suyama, T. Watanabe, H. J. Guo, and O. Ichinokura. "Iron Loss of a Switched Reluctance Motor." Journal of the Magnetics Society of Japan 25, no. 4−2 (2001): 1207–10. http://dx.doi.org/10.3379/jmsjmag.25.1207.

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42

Petrushin, Alexandr, Victor Shcherbako, and Alexandr Kashuba. "Magnetic System Optimization of Switched Reluctance Motor." Известия высших учебных заведений. Электромеханика 60, no. 1 (2017): 20–27. http://dx.doi.org/10.17213/0136-3360-2017-1-20-27.

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43

Lorencki, Jakub. "Imbalance signal analysis in switched reluctance motor." Annals of Warsaw University of Life Sciences - SGGW - Agriculture (Agricultural and Forest Engineering) 70 (December 31, 2017): 89–93. http://dx.doi.org/10.22630/aafe.2017.70.21.

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44

Lukianov, Mykola. "Switched-reluctance motor with improved traction characteristics." Bulletin of the National Technical University «KhPI» Series: New solutions in modern technologies, no. 2(4) (July 7, 2020): 23–29. http://dx.doi.org/10.20998/2413-4295.2020.02.03.

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45

Ahn, Jin-Woo, and Grace Firsta Lukman. "Switched reluctance motor: Research trends and overview." CES Transactions on Electrical Machines and Systems 2, no. 4 (December 2018): 339–47. http://dx.doi.org/10.30941/cestems.2018.00043.

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46

Suzuki, Takanori, Shinya Ito, Naoki Tanaka, Akira Chiba, Tadashi Fukao, and Hironori Ninomiya. "Development of High Efficiency Switched Reluctance Motor." IEEJ Transactions on Industry Applications 126, no. 4 (2006): 511–18. http://dx.doi.org/10.1541/ieejias.126.511.

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47

M. Ravindran, M. Ravindran, and Dr V. Kirubakaran Dr. V.Kirubakaran. "Speed Control Drive for Switched Reluctance Motor." Indian Journal of Applied Research 3, no. 3 (October 1, 2011): 122–23. http://dx.doi.org/10.15373/2249555x/mar2013/38.

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48

杜, 舟. "Speed Control Strategy of Switched Reluctance Motor." Journal of Electrical Engineering 04, no. 01 (2016): 55–62. http://dx.doi.org/10.12677/jee.2016.41008.

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49

Musbah Elganai, Abdulate Ahmuda. "Study of Rotary-Linear Switched Reluctance Motor." International Journal of Engineering Trends and Technology 31, no. 3 (January 25, 2016): 149–52. http://dx.doi.org/10.14445/22315381/ijett-v31p226.

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50

Wang, H., Y. Wang, X. Liu, and J. W. Ahn. "Design of novel bearingless switched reluctance motor." IET Electric Power Applications 6, no. 2 (2012): 73. http://dx.doi.org/10.1049/iet-epa.2010.0229.

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