• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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• v.5B no.1
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• pp.39-42
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• 2005

Though full 3D analysis is the proper method to analyze the hybrid stepping motor (HSM), it has weak points in the areas of computation time and complexity. This paper introduces 2D FEA using a virtual magnetic barrier for the axial cross section to save computation time. For the purpose of 2D FEA, the virtual magnetic barrier and equivalent permanent magnet model of HSM are proposed. This result is compared with that of experimental and 3D analysis, considered as a reference result.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.722-723
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• 2015

This paper presents characteristics Analysis of Outer Rotor type BLDC Motor. To reduce the cogging torque and to make the high back EMF constant of the motor, Not only magnetization directions of a permanent magnet are investigated, but also a tooth chamfer of a stator is optimized. The design and analysis results are verified with experimental results.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.808-809
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• 2015

본 논문은, 24극 18슬롯을 갖는 1kW 풍력발전용 AFPM발전기의 코깅토크 저감과 특성향상에 관한 논문이다. 코깅토크 저감 방법에는 여러 가지가 있으나 본 논문에서 두 가지의 방법을 제안하였고, 제안된 방법 두 가지를 혼합하여 최적화를 진행하고 코깅토크는 최소가 되고, 기전력은 최대가 되는 최적점을 찾는 최적화를 진행하여 발전기의 특성을 향상시키는 논문이다.

• Proceedings of the KIEE Conference
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• summer
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• pp.860-862
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• 2004

본 논문에서는 유전알고리즘과 유한요소법을 이용하여 BLDC 전동기의 코깅 토크를 최소화하기 위한 최적화 설계 방법을 제안하였다. 먼저 유전알고리즘을 이용하여 BLDC 전동기의 설계 변수를 추론하고, 유한요소법으로 코깅 토크를 구하였다. 유전알고리즘과 유한요소법을 사용함으로써 BLDC 전동기의 코깅 토크가 최소화 되는 영구자석의 형상을 전 영역에서 빠른 시간내에 구할 수 있었다.

• Proceedings of the KIEE Conference
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• 2009.04b
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• pp.76-78
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• 2009

Spoke type 영구자석 전동기는 자속이 집중되어 높은 공극자속밀도를 가지는 이점이 있으나 코깅토크가 비교적 크다는 단점이 있다. 소음 진동의 원인이 되는 코깅 토크를 저감하기 위해 모델1, 모델 2를 통해 회전자의 형상을 변화시키는 일반화 계수를 찾고 이를 모델3에 적용시켜 확인하고자 한다.

• Proceedings of the KIEE Conference
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• 2009.04b
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• pp.82-84
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• 2009

최근 널리 사용되고 있는 BLDC Motor는 코깅 토크 문제점을 가지고 있다. 본 연구에서는 4극 24슬롯 BLDC Motor를 Flux 2D로 시뮬레이션 하였고, 문제점을 파악하여 Magnet Pole Cover를 이용한 모터를 설계하고 분석하였다.

• Journal of Electrical Engineering and Technology
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• v.1 no.2
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• pp.185-191
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• 2006

In this paper, a novel stator hybrid excited doubly salient permanent magnet (SHEDS-PM) brushless machine with a special magnetic bridge is proposed for the first time. The originality of this machine is purposely to add a magnetic bridge in shunt with each PM pole, which not only maintains the stator lamination in its entireness, but also amplifies the effect of DC field flux on PM flux. An equivalent magnetic circuit is presented to clarify the novelty. Based on the 2-D finite element analysis, the static characteristics of the SHEDS-PM machine, namely phase flux linkage, back-EMF, cogging torque, winding inductance and static torque are deduced. The corresponding results on a prototype machine illustrate that the proposed machine is promising for application to electric vehicles.

• Proceedings of the KIEE Conference
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• 1996.07a
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• pp.133-135
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• 1996

This paper deals with the effect of teeth number variation in permanent Magnet DC motor. As teeth number varies, both flux density distribution and winding pitch are influenced, which is closely related to torque-speed characteristics, output power, and efficiency. In this study, motor design carried out using finite element method, and prototype motors were manufactured to test their performance analysis. In spite of torque ripple due to cogging effect better characteristic of machine using small teeth number was recorded than the motors with large number of rotor teeth. One of that reasons is caused by adopting large coil-length due to large number of teeth, i. e. large coil-pitch.

• Proceedings of the KIEE Conference
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• 2003.10b
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• pp.113-115
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• 2003

This paper presents the optimal design of a brushless DC motor(BLDC) keeping the average torque and cogging torque of the initial model while minimizing the volume of magnet pole by FEM and evolution strategy. Experimental tests are performed by the finite element method(FEM), and the random based evolution strategy is applied for the shape optimization. The optimal result shows a largely reduced volume of magnet pole.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.53 no.5
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• pp.325-331
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• 2004

The multiobjective optimization (MO) problem usually includes the conflicting objectives and the use of conventional optimization algorithms for MO problem does not so good approach to obtain an effective optimal solution. In this paper, genetic algorithm (GA) as an effective method is used to solve such MO problem of brushless DC motor (BLDCM). 3D equivalent magnetic circuit network (EMCN) method which enables us to reduce the computational burden is also used to consider the 3D structure of BLDCM. In order to effectively obtain a set of Pareto optimal solutions in MO problem, ranking method proposed by Fonseca is applied. The objective functions are decrease of cogging torque and increase of torque respectively. The airgap length, teeth width and magnetization angle of PM are selected for the design variables. The experimental results are also shown to confirm the validity of the optimization results.