• Title/Summary/Keyword: 브러시 없는 직류모터

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Trends of BLDC Motor Driver System Technology (BLDC 모터구동시스템 기술동향)

  • Yang, Y.S.;Heo, S.W.;Oh, J.M.;Kim, M.K.
    • Electronics and Telecommunications Trends
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    • v.29 no.6
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    • pp.22-30
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    • 2014
  • 전기에너지를 기계에너지로 변환하는 기존의 브러시 있는 직류모터보다 고효율, 저소음, 제어용이성, 고내구성 특징을 가지는 브러시 없는 직류(BLDC: Brushless Direct Current)모터의 응용분야의 확대로 지속적으로 성장하는 BLDC 모터시장에 대응하기 위한 에너지 절감형 BLDC 모터구동시스템 기술개발이 절실히 요구되는 실정이다. 이에 따라, 본고에서는 일반차량 및 PHEV(Plug-in Hybrid Electric Vehicle)/EV(Electric Vehicle) 등 그린자동차용, 에어컨, 세탁기, 냉장고 등 그린백색 가전용, 산업용 건조기, ATM, 자판기 등 그린산업 기기용 BLDC 모터에 적용할 수 있는 에너지 절감기능이 우수한 BLDC 모터, BLDC 모터구동회로, 고전압 파워소자구동회로, 고전압 파워소자로 구성된 BLDC 모터구동시스템 기술동향에 대해 논의하고자 한다.

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Development of a Brushless Linear DC Motor for High Speed and Precise Position Control (고속 정밀용 브러시 없는 리니어 직류 모터 개발)

  • 이강원;조영준;송창섭
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.10
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    • pp.73-80
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    • 1998
  • Recently, we have developed a linear brushless DC motor(LBLDCM) with high speed and precise position control performance to apply it to the semiconductor assembly and inspection machinery. It is composed of double side alignment by two armature-stator pairs and each pair is consist of a moving armature with 8 poles by 3 phase coils and a stator with rare earth permanent magnet (Nd-Fe-B) arrays. Through the thrust force analysis on a simplified and whole model of the suggested LBLDCM by an Electromagnetic FEM solver, skew angle of magnet arrays to reduce the thrust force ripple and the winding conditions of the armature is designed. From experimental results, the user's requirements was satisfied and we confirmed distinctly that the repeatable accuracy less than a micron of the linear motion can be obtained at high speed by the developed LBLDCM. This is owing to directly drive the work without the gear train.

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Efficiency Comparison according to Power Conversion Method and Performance Estimation for Battery Source BLDC Motor Propulsion System of Small Ships (축전지 전원을 사용한 소형선박 추진용 BLDC모터의 전력변환방식에 따른 효율 비교 및 성능 추정)

  • Jeong, T.Y.;Jeong, S.K.
    • Journal of Power System Engineering
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    • v.14 no.1
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    • pp.27-33
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    • 2010
  • We investigate some operation characteristics and energy efficiency of the BLDC motor system driven by different two types power conversion method depends on same battery source for applying to electrical motor propulsion system of a small ship. Also, we suggest an estimation manner of operating performances such as total running distance and operating speed of ships from basic discharge voltage characteristics of batteries. Through some experiments, direct power conversion was better than indirect method on the view point of energy efficiency and the voltage discharge characteristics could be used as important design factor for estimating operating performances of small ships driven by electrical motors.

Analysis and Improvement of System Efficiency for the Moving-actuator type Bi-Ventricular Assist Device ($AnyHeart^{TM}$) (한국형 양심실 보조 인공 심장의 효율 분석 및 개선에 관한 연구)

  • Chung, J.H.;Nam, K.W.;Choi, S.W.;Lee, J.J.;Park, C.Y.;Kim, W.E.;Choi, J.S.;Min, B.G.
    • Journal of Biomedical Engineering Research
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    • v.22 no.5
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    • pp.449-458
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    • 2001
  • This is a test report of system efficiency for the moving-actuator type Bi-ventricular assist device (AnyHear $t^{MT}$ ) Seoul National University). $AnyHeart^{TM}$), as an energy converter. utilities a brushless DC motor(S/M 566-26A. Sierracin/ Magnedyne, Carlsbad, CA. U.S.A.) generating their pendulous motion in the epicyclic gear train. It is necessary to know about the overall efficiency of the system. The system is subdivided into three parts: motor part, actuator part and blood sac part (including valves, etc.) according to system mechanism. The motor was operated with a variable range of torque. angular speed and width of voltage Pulse In this report. $AnyHeart^{TM}$ is focused on the efficiency of the motor and actuator parts. 4 $\ell/min$ pump output. which is normal condition of $AnyHeart^{TM}$ system, the total system efficiency is 8%, which is composed of 50%, 85% and 17% efficiency (motor Part, actuator Part and blood sac Part) respectively. In the analyzed result. applied input voltage on normal condition of $AnyHeart^{TM}$ is determined. Also speed Profile with considering filling state of blood sac is Provided. In the test of the in vitro mock circulation. some experimental results are Provided to demonstrate the effectiveness of the Presented approach.

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The Comparison of thrust computational methods of a brushless DC linear motor (브러시 없는 직류 선형 모터의 추력 계산 방법의 비교)

  • Choi, Moon-Suk;Kim, Yong-Yil
    • Proceedings of the KIEE Conference
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    • 1997.11a
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    • pp.32-34
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    • 1997
  • For a given brushless DC linear motor, we suggest the numerical prediction methods to analyze it's thrust characteristics. First, we calculate the magnetic flux density by the finite element method, and we then compute the maximum thrust with three computational methods - a Lorentz equation, a Maxwell stress method and a virtual work method. To confirm the accuracy of the computational methods, we measure the thrust of the linear motor made by our laboratory with a force-torque sensor. Also, we calculate the thrust by the measured back electromotive force. To choose the appropriate method for a specified application, we compare the maximum thrusts of the computational method and the calculation by the back electromotive force with the measured one. We conclude that the Maxwell stress method is turned out the best because it has the most accurate results among three computational methods and it is more convenient than the calculation method by the back electromotive force.

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Simple Robust Digital Position Control Algorithm of BLDD Motor using Neural Network with State Feedback (상태궤환과 신경망을 이용한 BLDD Motor의 간단한 강인 위치 제어 알고리즘)

  • 고종선;안태천
    • The Transactions of the Korean Institute of Power Electronics
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    • v.3 no.3
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    • pp.214-221
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    • 1998
  • A new control approach using neural network for the robust position control of a BRUSHLESS direct drive(BLDD) motor is presented. The linear quadratic controller plus feedforward neural network is employed to obtain the robust BLDD motor system approximately linearized using field-orientation method for an AC servo. The neural network is trained in on-line phases and this neural network is composed by a feedforward recall and error back-propagation training. Since the total number of nodes are only eight, this system will be easily realized by the general microprocessor. During the normal operation, the input-output response is sampled and the weighting value is trained by error back-propagation at each sample period to accommodate the possible variations in the parameters or load torque. And the state space analysis is performed to obtain the state feedback gains systematically. In addition, the robustness is also obtained without affecting overall system response.

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