• Proceedings of the KIEE Conference
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• 2001.07b
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• pp.871-873
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• 2001

The switched reluctance motor (SRM) is gaining much interest as a candidate for electric vehicle for its simple and rugged construction, ability of extremely high-speed operation. This paper is to design and investigate the capabilities of the SRM for low speed electric vehicle (LSEV).

• Proceedings of the KIPE Conference
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• 1999.07a
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• pp.151-154
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• 1999

This paper presents a driving method of 3-phase 4-poles SRM(switched reluctance motor) drived by switching angle control. In this study, the switching angle is determined from approximated analysis and computer simulation by using MATLAB for high efficiency according to the speed and torque required by load, and then microcontroller controls the switching angle of asymmetrical inverter in SRM driver. Also, we experiment the maximum forque driving and maximum power driving by controlling switching angle available to electric vehicle.

• Proceedings of the KIPE Conference
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• 1999.07a
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• pp.163-166
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• 1999

본 연구에서는 SRM의 토크 리플을 줄이기 위한 설계 방법을 제시한다. SRM의 형상을 최적화하기 위해 유한요소법과 최적화 알고리즘을 적용하였다. 기존의 토크 평균값을 이용한 설계법의 문제점을 제시하고 토크 형태를 구간 별로 목적 함수로 정의하여 토크 형태를 최적화하는 새로운 최적화 문제 정의 방법을 제안한다. 이러한 방법으로 최적화할 경우 SRM의 정적 토크 특성만을 고려한 기존 방법에 비해 고속으로 회전하는 SRM의 토크 성능을 보장할 수 있다는 장점이 있다.

• Proceedings of the KIPE Conference
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• 2002.07a
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• pp.427-430
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• 2002

The switched reluctance motor (SRM) drive system provides a good adjustable speed characteristics. But driving of SRM is nonlinear changed according to rotor position angle and phase current because of saturation in magnetic circuit, and it is difficult to drive the high efficiency. This paper proposes find point of high efficiency in variable load that are used to control switch-on/off angles and input voltage.

• Proceedings of the KIEE Conference
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• 2006.07b
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• pp.805-806
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• 2006

Single phase switched reluctance motor has a merit in practical use because it has simple operating drives and control systems, very high energy density per unit volume comparing with three phase SRM. But it must have a starting device. This paper presents a single phase SRM model with a stepped rotor pole, so as to reduce the torque ripple. Also it is simulated the designed prototype model by FEM for the prediction of characteristics.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.45 no.4
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• pp.526-529
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• 1996

A novel control scheme for a Switched Reluctance Motor(SRM) drive is described. To increase torque, and to commutate easily, flat-topped phase current and fixed switching angle control is proposed. The conditions for flat-topped phase current are analyzed. It is achieved by voltage control with fixed switching angle. The proposed control system was tested to verify this suggestion. (author). refs., figs., tab.

• Proceedings of the KIEE Conference
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• 2005.10c
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• pp.67-69
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• 2005

Single phase switched reluctance motor lias a merit in practical use because it has simple operating drives and control systems, very high energy density per unit volume comparing with three Phase SRM. But it must have a starting device. This paper presents a single phase SRM model with a stepped rotor pole, so as to reduce the torque ripple. Also it is simulated the designed prototype model by FEM for the prediction of characteristics

• The Transactions of the Korean Institute of Power Electronics
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• v.13 no.1
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• pp.33-40
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• 2008

This paper proposes a sensorless drive method that estimates the rotor position by analysing Back EMF of single-phase Switched Reluctance motor (SRM). The rotor position information is necessary required, because SRM's torque is generated by exciting a stator winding according to rotor position. In order to detect the position of the rotor, the various rotor position sensors have been used. However, most of the position sensors not only increase the construction cost and the volume of the motor but also decrease reliability of driving system with environment. This paper proposed the method using the Back EMF to solve such problems. When a rotor and stator are overlapped, the Back EMF is sharply changed. By detecting this point, the rotor position can be estimated. Thus SRM is driven by turn on and turn off switches at the proper position through speed calculation. The validity of proposed method is verified through simulation and experiment.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.51 no.8
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• pp.457-466
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• 2002

The speed and position control of SRM(Switched Reluctance Motor) needs the encoder or resolver to obtain the rotor position information. These position sensors can be affected by the EMI, dusty, and high temperature surroundings. Therefore the speed and position sensorless control has been studied widely In this paper, the binary observer of the SRM which has two feedback compensation loops to control the speed of SRM is proposed. One loop reduces the estimation error like the sliding mode observer, and the other removes the estimation error chattering occurred in the sliding mode observer. This observer is constructed on the basis of variable structure control theory and has the inertial term to exclude the chattering. This method has a good estimation performance in spite of nonlinear modeling of SRM. The advantages of the proposed method are verified experimentally.

• Proceedings of the KIEE Conference
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• 1997.07a
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• pp.47-50
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• 1997

The FEM(Finite Element Method) can be used to analysis SRM(Switched Reluctance Motor) as it can account for the salient pole geometry of the stator and rotor and the nonlinear properties of the magnetic materials. However, FEM requirers a lot of computer memory and computing time because, the kind of SRM drivers is verity and the switching strategies are various for one SRM driver. In this paper we proposed the method of analysis of a SRM which results are similar to FEM and has very short computing time. The Inductance and torque for each phase current at each rotor position are calculated by using two-dimensional nonlinear FEM analysis. Using the look-up table of inductance and torque and the voltage equations of SRM we obtained the phase current and torque. To verify proposed algorithm, 3 phase 6/4 SRM is analysed and found a good agreement with FEM results. And computing time is about 1/1600 of the FEM analysis.