• 한국산업융합학회 논문집
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• 제6권4호
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• pp.333-337
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• 2003

This paper proposed new techniques of rotor position detection for 8/6 pole Switched Reluctance Motor(SRM). This technique is very simple and easy to find out rotor position. The main idea uses the impulse responses which have different values between aligned and unaligned rotor position. In order to obtain the informations of the rotor position, the impulse applied to the unenergized phases and their responses are analyzed to control the speed of SRM without shaft sensor. Experimental results verify the feasibility of the proposed method.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.107-109
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• 2001

The salient pole rotor type single phase SRM has a salient pole in the rotor in order to use axial direction fluxes and radial direction fluxes simultaneously. A flux linkage between the rotor and the stator are increased because of the salient pole in the rotor. But, the inductance at unaligned position and aligned position is increased together. Therefore, the length of pole are and salient pole should be selected that the inductance increment at aligned position is higher than the inductance increment at unaligned position. On this paper, we will be studied the influence of the pole arc and the salient pole length on the torque of the salient pole rotor type single phase SRM.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2000년도 전력전자학술대회 논문집
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• pp.697-700
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• 2000

This paper introduces a new rotor position estimation algorithm for the SRM based on the magnetizing curves of aligned and unaligned rotor positions. The flux linkage is calculated by the measured data from phase voltage and phase current and the calculated data are used as the input of magnetizing profiles for rotor position detection. Each of the magnetizing profiles consisted of the methods using the neural network and fuzzy algorithm And also the optima phase is selected by phase selector. To demonstrate the promise of this approach the proposed rotor position estimation algorithms are verified by the experiment results or variable spee range.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2002년도 전력전자학술대회 논문집
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• pp.411-414
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• 2002

This paper proposed new techniques of rotor position detection for Switched Reluctance Motor(SRM). This technique is very simple and easy to find out rotor position. The main idea uses the impulse responses which have different values between aligned and unaligned. In order to obtain the rotor position, the Impulse applied to the unenergized phases and their responses are analized to control the speed of SRM without shaft sensor, Experimental results verify the feasibility of the proposed method.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 F
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• pp.2767-2769
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• 1999

This paper introduces a new rotor position estimation algorithm for the SRM, based on the magnetizing curves only at aligned and unaligned rotor positions. Through basic test method, the complete SRM magenetizing characterization is first constructed, and then used to estimate the rotor position. And also, the optimized phase is selected by phase selector. To demonstrate the promise of this approach. the proposed rotor position estimation algorithm is simulated for variable speed range.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제50권1호
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• pp.30-36
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• 2001

This paper introduces a new indirect rotor position estimation algorithm for the SRM sensorless control, based on the magnetizing curves of aligned and unaligned rotor positions. Through the basic test method, the complete SRM magnetizing characterization is first constructed using a neural network training, and then used to estimate the rotor position. And also, the optimal phase is selected by the phase selector. In order to verify this approach, the proposed rotor position estimation algorithm using a neural network learning data is investigated. The experimental results show that the proposed control algorithm can be effectively applied to SRM sensorless control.

• 전력전자학회논문지
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• 제5권4호
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• pp.343-351
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• 2000

본 논문에서는 정렬과 비정렬된 회전자 위치들에서 자화곡선들을 기본으로 한 SRM의 회전자 워치펑가 알고리즘을 제안한다. 자화곡선은 측정된 상 전압과 상 전류로부터 계산되어지고, 계산된 데이타는 회전자 위치검출을 위한 자화곡선의 입력으로 사용되어진다. 자화곡선은 비션형 특성해석에 적합한 퍼지 알고리즘으로 구생되어졌다. 종래의 지삭기반 퍼지제어기를 이용한 자속관측기가 SRM의 센서리스 제어를 얻기 위해 제시되었다. 최적 각을 선정하기 위한 방식이 회전자 위치검출을 위해 제시되었다. 제안된 알고리즘의 강인성이 시뮬레이션과 실험결과의 비교를 통해 입증되었다.