• Journal of the Korean Society of Industry Convergence
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• v.6 no.4
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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.

• Proceedings of the KIEE Conference
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• 2001.10a
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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.

• Proceedings of the KIPE Conference
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• 2000.07a
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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.

• Proceedings of the KIPE Conference
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• 2002.07a
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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.

• Proceedings of the KIEE Conference
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• 1999.07f
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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.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.50 no.1
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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.

• The Transactions of the Korean Institute of Power Electronics
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• v.5 no.4
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• pp.343-351
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• 2000

This paper introduces a new rotor position estimation algorithm for the Switched Reluctance Motor, based on the magnetizing curves only at aligned and unaligned rotor positions. The flux linkage is calculated by measured data from phase voltage and phase current, and calculated data are used as the input of magnetizing profiles for rotor position detection. The fuzzy flux observer using novel knowledge-based fuzzy controller are presented to achieve sensorless control of the SRM. The method for selecting optimal angle is proposed for the rotor position detection. The robustness of the proposed algorithm is proved through the comparison of the simulation and experimental results.