• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.8
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• pp.1405-1411
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• 2007

In this paper, a new speed sensorless control based on a fuzzy compensator are proposed for the interior permanent magnet synchronous motor (IPMSM) drives. The conventional proportional plus integrate(PI) control are very sensitive to step change of the command speed, parameter variations and load disturbance. To cope with these problems of the PI control, the estimated speeds are compensated by using the fuzzy logic controller (FLC). In the FLC used by the speed compensator of the IPMSM, the system control parameters are adjusted by the fuzzy rule based system, which is a logical model of the human behavior for process control. The effectiveness of algorithm is confirmed by the experiments.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1025-1026
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• 2007

Recently study on components for a electric golf car and a utility car driven by a electric motor has been performed actively, and the study on a drive motor, a inverter and a battery focuses on a small, light weight and high power density source to improve fuel efficiency using limited electric energy. Especially, since a utility car such as a golf car performance depends on initial acceleration and maximum speed capability, a drive system requires high power and large and wide operation area, This study therefore investigates on the interior permanent magnet synchronous motor with high power density and wide operation, and is verified with the test result after design and characteristic analysis is performed

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.874-875
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• 2007

This paper introduces major potential faults of IPMSM and their simulation realization methods. The faults of IPMSM, generally, contain single-phase open circuit, single-phase or 3-phase short circuit, and uncontrolled generation. When different fault occurs, the circuit of total system including motor and inverter also will be changed. Therefore, it is necessary to analyze and establish independent model for each kind of fault. In this paper, first, the drive circuit is analyzed as different fault type. Then, the corresponding simulation results solved in Simulink@MATLAB are given. The absence of experiment results leads that the veracity of simulation results can not be verified, but the tendency will be explained by theory analysis.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1035-1036
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• 2007

This paper presents the characteristics analysis of Interior Permanent Magnet Synchronous Motors(IPMSMs). The development of this program is based on Matlab. In oder to achieve the development of the program, basis algorithm for IPMSMs analysis took advantage of equivalent magnetic circuit analysis technique. The equivalent magnetic circuit analysis for IPMSMs are based on a rotate synchronous d-q reference frame. The mathematical model of the d-q frame voltage equations is used frequently for the analysis of IPMSMs. This program can consider a cross saturation effect and a iron loss and mechanical loss, and provide fast analysis results of IPMSMs characteristics.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1114-1115
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• 2007

In this paper, a new speed sensorless control based on a fuzzy compensator are proposed for the interior permanent magnet synchronous motor (IPMSM) drives. The conventional proportional plus integrate(PI) control are very sensitive to step change of the command speed, parameter variations and load disturbance. To cope with these problems of the PI control, the estimated speeds are compensated by using the fuzzy logic controller (FLC). In the FLC used by the speed compensator of the IPMSM, the system control parameters are adjusted by the fuzzy rule based system, which is a logical model of the human behavior for process control. The effectiveness of algorithm is confirmed by the experiments.

• Proceedings of the KIEE Conference
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• 2001.10a
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• pp.27-29
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• 2001

In this paper, we study in magnetizing the NdFeB magnet which is inserted in a squirrel cage rotor. The inserted NdFeB magnet need much more magnetizing flux than that of ferrite magnet. Also the eddy current flowing in rotor bar disturbs the magnetizer in magnetizing the NdFeB magnet. The existing magnetizing yoke is designed by increasing the coil turn. But we recognize that only by increasing the coil turn it is impossible to make NdFeB magnet magnetized fully. Hence, in this paper we propose the method of increasing magnetizing flux by reducing the rotor bar area.

• Proceedings of the KIEE Conference
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• 2005.07b
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• pp.1108-1110
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• 2005

This paper presents a method for more efficient application of response surface methodology, one of the optimization methods, in optimal design of electrical devices. The proposed method is applied for improving torque performance of a prototype interior permanent magnet synchronous motor(IPMSM). In the end, the performance between the prototype and the optimized IPMSM is compared to verify usefulness of the method based on finite element analysis.

• Proceedings of the KIPE Conference
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• 2010.11a
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• pp.310-311
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• 2010

하이브리드 자동차(HEV)용 매입형 영구자석 동기 전동기(IPMSM)의 Lookup-Table을 이용한 토크제어는 전류 및 온도 등과 같은 외부 환경에 의한 파라미터 변동으로 인해 전체적인 구동 성능이 떨어지게 된다. 따라서 본 논문에서는 전류 및 자속 값을 이용하여 지령 토크에 대한 전류 지령치를 보상함으로써 출력 토크를 보상하였다. 구동 성능은 시뮬레이션을 통하여 확인하였다

• Proceedings of the KIPE Conference
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• 2020.08a
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• pp.427-428
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• 2020

본 논문에서는 최소손실 불연속 변조 기법에 따른 2레벨 3상 전압원 인버터의 DC 링크 전압 리플을 분석하고 이를 통해 DC 링크 커패시터 전기 용량을 선정하는 방법을 제시하였다. 커패시터 전기 용량은 클수록 전압 리플을 제한하는 데 유리하지만, 이는 인버터 제작비용을 증가시키고 전력 밀도를 낮춘다. 따라서 DC 링크 커패시터 전기 용량을 적절히 선정하는 것이 중요하다. PSIM을 이용한 매입형 영구자석 동기 전동기 구동모의실험으로 제시한 분석 방법의 타당성을 검증하였다.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1230-1231
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• 2011

이 논문은 전차원 상태 관측기 기반의 EEMF(Extended Electro-Motive Force) 모델을 이용한 IPMSM(Interior Permanent Magnet Synchronous Motor:매입형 영구 자석 동기 전동기)센서리스 제어 기술을 제안한다. 임의의 ${\gamma}-{\delta}$축 상에서 IPMSM 상태 방정식을 전개하고 이를 전차원 상태 관측기로 구현해 Extended EMF(역기전력)성분을 추정한다. 추정 성분을 이용해 제어각의 오차를 구하고 PI제어기를 사용해 제어각의 오차를 0으로 수렴시켜 전동기 회전 속도를 추정한다. 추정 속도를 적분해 제어각을 얻고, IPMSM 센서리스 제어를 수행한다. 제안한 알고리즘은 실험을 통해 그 타당성을 검증한다.