• Proceedings of the KIPE Conference
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• 1997.07a
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• pp.322-331
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• 1997

In this paper, Instantaneous voltage control method is proposed to reduce the torque ripple of a switched reluctance motor. This method is based on the sum control of the square of the phase currents in proposed converter. A proposed prototype SRM drive circuit is given and it's operation is analyzed. The experiments and simulations are performed to verify the capability of proposed principle.

• The Transactions of the Korean Institute of Power Electronics
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• v.2 no.3
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• pp.11-19
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• 1997

본 논문에서는 스위치드 리럭턴스 전동기의 토크 리플 또는 소음을 감소하기 위한 방법으로써 순시 전압제어방식을 제시하였다. 이 방식은 상 정류의 제곱의 합ㅇ르 제어하여 토크 리플을 제거할 수 있다. 제안방식에 대해 해석하였으며, 이 방식의 이론적인 타당성을 입증시키기 위해 소프트웨어 페키지 ASCL에 의해 시뮬레이션하였다. 실험에 의해 SRM 토크 리플의 제거를 확인하였다.

• Proceedings of the KIPE Conference
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• 1998.11a
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• pp.1-4
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• 1998

In this paper, an auto-tuning method for fuzzy controller based on the neural network is presented. The backpropagated error of neural emulator offers the path which reforms the fuzzy controller's membership functions and fuzzy rule, and used for speed control of switched reluctance motor. The experiments are performed to verify the capability of proposed control method on 6/4 salient type SRM. The results show that fuzzy-neural controller is suitable for wide speed range.

• Proceedings of the KIEE Conference
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• 2001.04a
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• pp.335-337
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• 2001

The new converter topology using half bridge inverter for the switched reluctance motor drives is proposed. The proposed SRM drives are supplied by the pulse voltage source, while the conventional drives are supplied by de voltage source. Proposed converter does not lose the characteristics of classic converter though the total no. of power switches are reduced.

• 전기의세계
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• v.42 no.12
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• pp.52-64
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• 1993

본고에서는 앞으로 동기전동기중 소형전동기로서 산업사회에 크게 공헌할 것으로 생각되는 VRM의 회전자를 2중돌극(double salient pole) 형태로하여 전기에너지를 효율적으로 공급받는 SRM(switched reluctance motor)과 PM Motor를 중심으로 현재의 상황과 그 전망에 대해 서술하고자 한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.1
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• pp.131-141
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• 2016

SRM is designed to meet operating standards such as low cost, simple magnetic structure, a desired operating speed range, high efficiency, high performance, and good matching for DC power. The magnetic flux of SRM is independent of its direction to develop a torque and it allows the flexible characteristics of the magnetic structure for SRM. In this paper, SRM can widely classify two types, Radial-Flux SRM and Axial-Flux SRM, according to the flux direction. Radial-Flux SRM includes Conventional, Segmented stator and rotor, and Double stator SRM, etc. and Axial-Flux SRM includes C-core stator and the Axial-airgap SRM. This paper is subjected the basic characteristics to select the best of the magnetic structure of SRM in the appropriate application by the classification of SRM.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.49 no.5
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• pp.305-312
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• 2000

This study deals with the dynamic response of a rotor in Switched Reluctance Motor(SRM) caused by the unbalance force such as the unbalanced mass and electromagnetic force. The method to analyze the mechanical response of the rotor supported on the bearing is based on an extension of the 3-dimensional Transfer Matrix Method(TMM) coupled with the electromagnetic force calculated by Maxwell stress tensor. The displacement of the rotor as a function of frequency according to the position of the unbalanced mass is evaluated from the frequency response function (FRF). The rotor behaviour with the electromagnetic force is compared with that without the electromagnetic force. In addition, the resonance speeds and the vibration modes are analyzed and demonstrated in this paper. These results are useful in designing the mechanical rotor and in balancing properly the rotor to reduce vibration and noise.

• Proceedings of the KIEE Conference
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• 2007.10c
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• pp.160-162
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• 2007

Switched-reluctance motor(SRM) has advantages such as simple structure, low cost and so on compared with induction motor. This paper proposes a new sensorless method that is based on the impressed voltage pulse method to estimate rotor position. Current sensors detect the SRM currents in the unenergised phases and output the voltage. The rotor position can be inferred by the above calculations when the peak values exceed a fixed threshold value.

• Proceedings of the KIPE Conference
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• 2004.07a
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• pp.201-205
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• 2004

A method for driving and position sensing of TSRM(Toroidal Switched Reluctance Motor) using the search coil is presented in this paper. Position information of the rotor is essential for SRM drives. The rotor position sensor such as an opto-interrupter or high performance encoder is generally used for the estimation of rotor position. However, these discrete position sensors not only add complexity and cost to the system but also tend to reduce the reliability of the drive system. In order to solve these problems, in the proposed method, rotor position detection is achieved using the voltage waveforms induced by the time varying flux linkage in the search coils, and then the appropriate phases are excited to drive the SRM. But the search coil EMF is generated only when the motor rotates. Therefore the rotor position sensing method at standstill is also suggested.

• Proceedings of the KIPE Conference
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• 1998.10a
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• pp.768-773
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• 1998

The speed control of SRM(Switched Reluctance Motor) needs the accurate position and speed data of rotor. This information is generally provided by a shaft encoder or resolver. In some cases, the environment is which the motor operates may cause difficulties in maintaining the satisfactory position detection performance. Therefore, the elimination of the position and speed sensor has gained wide attention. In this paper, a new algorithm for estimation of rotor position and speed is described for the SRM drives. This method uses is nonlinear adaptive observer using the MRAS(Model Reference Adaptive System). The observer is proved by Lyapunov Stability Theory. This algorithm was implemented with a TMS320C31 DSP. Experiment results prove that the observer is able to estimate the speed and position with a little errors.