• The Transactions of the Korean Institute of Power Electronics
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• v.7 no.5
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• pp.427-436
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• 2002

This paper presents an implementation of high-dynamic performance of position sensorless motion control system of Reluctance Synchronous Motor(RSM) drives for an industrial servo system with direct torque control(DTC). The problems of high-dynamic performance and maximum efficiency RSM drives controlled by DTC are saturation of stator linkage flux and nonlinear inductance characteristics with various load currents. The accurate estimation of the stator flux and torque are obtained using stator flux observer of which a saturated inductance $L_d$ and $L_q$ can be compensated by adapting from measurable the modulus of the stator current and rotor position. To obtain fast torque response and maximum torque/current with varying load current, the reference command flux is ensured by imposing $I_{ds} = I_{qs}$. This control strategy is proposed to achieve fast response and optimal efficiency for RSM drive. In order to prove rightness of the suggested control algorithm, the actual experiment carried out at $\pm$20 and $\pm$1500 rpm. The developed digitally high-performance motion control system shown good response characteristic of control results and high performance features using 1.0kW RSM which has 2.57 Ld/Lq salient ratio.

• The Transactions of the Korean Institute of Power Electronics
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• v.6 no.6
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• pp.506-513
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• 2001

The torque of an SRM depends on the phase current and derivative of inductance. But an SRM is difficult to control the desired torques because of saturation in magnetic circuit An SRM is controlled by parameters of input voltage, and switch on , off angle The switch on off angles of an SRM regulate the magnitude and shape of current waveform and decide the magnitude and shape of torque This paper proposes an the optimization control scheme by adjusting both the switch on an switch off angle . The switch off angles are decided by reference of efficiency using simulation and experiments. The switch on angles are decided by load torque , And the dwell angles are controlled for torque control and speed control using GA-neural network which is used to simulated the reasonable switching angle.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.143-148
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• 2023

Among the characteristics of SRM, due to nonlinearity, it is difficult to properly operate to form maximum torque and minimum torque pulsation. In addition, in the case of fixed switching angle control, torque formation according to speed variation is unstable, thereby reducing efficiency. Therefore, active switching angle control according to speed variation is required. Therefore, active switching angle control according to speed variation is required. In this paper, a method for improving driving performance by reducing torque ripple by automatic control of the advance angle and increasing output torque was sought from the problem caused by the nonlinearity of the SRM. In addition, the optimal operation of SRM due to the switching variable according to the performance of the hysteretic current controller was examined.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.637-638
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• 2008

최근 하이브리드 전기자동차의 관심이 높아짐에 따라 전기적 신호의 연결로 구동 시스템을 구성하는 X-by-wire기술 연구가 활발하게 이루어지고, 있다. 그 중 Drive시스템을 관장하는 Throttle-by-Wire 기술의 일환으로 ETC(Electronic Throttle Control)장치에 대한 연구가 진해되고 있으며, 일부 제품이 출시되고 있다. ETC 구성요소 중 가장 핵심인 모터 설계를 위해 본 논문에서는 우수한 성능을 가지는 BLDC 모터를 선택하고, 기초 설계를 통해 그 형상을 설계하였으며, 보다 더 높은 효율과 출력 토크를 얻기 위해 회전자 영구자석의 재질과 형상을 변화시키며 효율과 출력 토크에 미치는 영향을 살펴보았다.

• Proceedings of the Korean Magnestics Society Conference
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• 2009.12a
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• pp.56-56
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• 2009

• Journal of the Korean Magnetics Society
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• v.24 no.5
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• pp.160-164
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• 2014

In this paper, an efficient robust design utilizing an enhanced Taguchi method is proposed to reduce cogging torque of a BLDC motor in the presence of design uncertainty. To overcome defects of the conventional Taguchi method in dealing with a generalized robust design problem, a penalty function and an optimal level searching technique are newly introduced. In order to verify the proposed method, a 5 kW, rated speed of 2,300 rpm, rated torque of 20 Nm BLDC motor for driving electric vehicles is optimized. Then, the robust design is compared with conceptual and deterministic ones in terms of the cogging torque, rated torque and torque ripple.

• Proceedings of the KIEE Conference
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• 2003.10b
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• pp.131-133
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• 2003

일반적인 BLDCM은 슬롯을 갖고 있기 때문에 코깅 토크가 발생하며, 이로 인하여 토크 리플이 증가한다. 이러한 슬롯을 제거한 슬롯리스 BLDCM은 원인적으로 코깅이 존재하지 않으며, 슬롯의 제거로 인하여 이 부분에서의 철손도 발생하지 않게 된다. 따라서, 우수한 효율과 코깅이 없음으로 인하여, 이러한 특성이 요구되는 특수 분야 뿐 아니라, 일반적인 분야에서도 수요가 기대되는 바이다. 본 연구에서는 슬롯리스형 BLDCM에 대하여 일반 BLDCM과 비교되는 특성을 해석하여 성능의 우수성을 보인다.

• 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 KIEE Conference
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• 1997.07a
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• pp.30-33
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• 1997

이 논문에서는 코깅 토크의 최소화와 효율의 최대화를 위해 전동기의 영구자석과 고정자 슬롯의 형상 최적화 방법을 제시하였다. 자계 해석은 유한요소법을 이용하였고, 토크의 계산은 가상번위법에 의하여 수행하였다. 형상 최적화를 위해서는 다중 목적 프로그래밍 기법과 개선된 ES를 적용하였다. 그리고 결과로 최적 설계된 전동기를 초기 전동기와 비교하였다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.20 no.4
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• pp.98-106
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• 2006

This paper is proposed an efficiency optimization control algorithm for a synchronous reluctance motor which minimizes the cower and iron losses. The design of the speed controller based on adaptive fuzzy-neural networks(AFNN) controller that is implemented using fuzzy control and neural networks. There exists a variety of combinations of d and f-axis current which provide a specific motor torque. The objective of the efficiency optimization controller is to seek a combination of d and q-axis current components, which provides minimum losses at a certain operating point in steady state. It is shown that the current components which directly govern the torque production have been very well regulated by the efficiency optimization control scheme. The proposed algorithm allows the electromagnetic losses in variable speed and torque drives to be reduced while keeping good torque control dynamics. The control performance of the hybrid artificial intelligent(HAI) controller is evaluated by analysis for various operating conditions. Analysis results are presented to show the validity of the proposed algorithm