• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2017년도 춘계학술발표대회
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• pp.123-125
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• 2017

최근 에너지 시장에 많은 변화가 일어나면서 국내 에너지 수급 현황에도 큰 영향을 끼치고 있다[1-2]. 발전소의 블랙 다운시 Battery Panel에서 전원을 공급받아 DC MOTOR를 기동하여 중요한 시설에 전원을 공급한다. 따라서 본 논문에서는 PSIM 시뮬레이션을 이용하여 37kW급 DC MOTOR 기동제어를 시뮬레이션 하였다. 시뮬레이션 결과 초기 기동 전류는 정격전류 170A의 200% 이내에서 동작해야 하는 조건을 만족 시켰다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 제36회 하계학술대회 논문집 D
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• pp.2833-2835
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• 2005

본 논문에서는 단결정($Al_2O_3$) 성장을 DC-Motor로 제어하여 양질의 결정을 얻도록 하는 자동가스 조절용 DC-Motor의 운영 시스템과 실시간 모니터링 시스템을 구현 하였다.

• 전력전자학회:학술대회논문집
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• 전력전자학회 1998년도 전력전자학술대회 논문집
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• pp.342-346
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• 1998

The brushless DC motor with trapezoidal back emfs has torque ripple due to phase commutation. The torque ripple generates noise and vibration and cause errors in position control so this makes the brushless DC motor less suitable for high performance servo applications. In this paper, we propose a new current control method to reduce the torque ripple due to commutation, when the unipolar PWM method is applied for the phase current control of brushless DC motor.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제48권3호
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• pp.131-138
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• 1999

Generally, the digital controller has many advantages such as high precision, robustness to electrical noise, capability of flexible programming and fast response to the load variation. In this study, we have established proper mathematical equivalent model of Brushless DC (BLDC) motor and estimated the motor parameter by means of the back-emf measurement as being the step input to the controlled target BLDC motor. And the validity of proposed estimation method is confirmed by the test result of step response. As well, we have designed the reasonable digital controller as a consequence of the root locus method which is obtained from the open-loop transfer function of BLDC motor with hall sensor, and the determination of control gain for variable speed control. Here, revised Ziegler-Nichols tuning method is applied for the proper digital gain establishment, and the system stability is verified by the frequency domain analysis with Bode-plot and experimentation.

• 한국자동차공학회논문집
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• 제16권1호
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• pp.71-77
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• 2008

This paper proposes an Electronic Throttle Body (ETB) model considering a non-linearity of DC motor driver which is integrated with a H-bridge and a gate driver. A propagation delay and reverse recovery time of switching components cause non-linear characteristic of DC motor driver. This non-linearity affects not only the amateur voltage of DC motor, but also entire behaviour and parameters of ETB. In order to analyze the behavior of ETB more accurately, this non-linear effect of DC motor driver is modeled. The developed ETB model is validated by use of the step response and ramp response experiments, and it shows relatively accurate results compared with linear DC motor driver model.

• Journal of Mechanical Science and Technology
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• 제19권spc1호
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• pp.336-342
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• 2005

The DC motor of a vehicle may cause noise and vibration due to high-speed revolution, which can make a driver feel uncomfortable. There have been various studies attempting to solve these problems, mostly focusing on the causes of noise and vibration and a means of preventing them. The CAE methodology is more efficient than a real test for the purpose of looking for various design parameters to reduce the noise and vibration of the DC motor. In this study, a design process for reducing brush noise is presented with the use of a computer model, which is made by using a multi-body dynamics program (DADS). The design parameters to reduce the brush noise and vibration were proposed using a computer model. They were used to reduce the noise and vibration of the DC motor and verified by the test results of the fan DC motor in the vehicle. This method may be applicable to various DC motors.

• 전력전자학회논문지
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• 제11권1호
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• pp.46-55
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• 2006

본 논문은 DC 모터와 MR(magnetorheological) 브레이크를 갖는 하이브리드 구동기의 제어 방법을 제안한다 로봇을 포함하여 여러 영역에서 이용되는 DC 모터는 대표적인 능동형구동기로 중량 대비 출력 이 작고, 출력한계로 인해 어느 정도 이상의 제어 이득에서 힘 제어 특성이 불안정해지는 성질이 있다. 따라서 이러한 DC 모터의 제어 불안정성을 해결하고, 투명성을 높이기 위해 반능동형 구동기인 MR 브레이크를 DC 모터와 병렬로 연결한 하이브리드 구동기를 제안하고 이에 대하여 네트워크 이론에 기반을 둔 제어 방법을 제안한다. 입력전류의 방향에 따라 스스로 출력을 내는 DC 모터와는 달리 MR 브레이크는 입력전류의 부호가 바뀌는 것에 상관없이 외부의 부하와 반대의 출력을 내는 것이 그 특징이다. 이러한 MR 브레이크의 성질을 수동적이라 하고 네트워크 이론의 수동성을 이용한 하이브리드 구동기의 힘 제어 방법을 제안하고 실험을 통해 이의 성능과 안정성을 입증하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 B
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• pp.974-976
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• 2001

This paper presents a method to reduce commutation torque ripples occurred during commutation in brushless do motor drives using a single DC-link current sensor. In brushless dc motor drives with a single dc current sensor instead of 3-phase line current sensors, it is noted that dc-link current sensor cannot give any information corresponding to the motor currents during line current commutation intervals. A new technique to resolve such a problem is dealt with based on a deadbeat current control in which motor armature voltage command is computed from a dc-link current reference, an actual current and counter emf voltage. The simulation results show that the proposed method reduces the torque ripple significantly.

• 조명전기설비학회논문지
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• 제26권8호
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• pp.71-78
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• 2012

Recently, it is increased to apply sensorless drive for BLDC (Brushless DC) motor to maximize operating efficiency and fuel efficiency to an electrical component of (H)EV. Especially, Electric vehicle component promotes a fuel efficiency enhancement by the carbon dioxide emissions regulation of a vehicle becoming the principal of the environmental pollution globally, the oil price hike that continued increasingly. We suggested the air compressor which applied BLDC motor for electric vehicle component and compared suggested BLDC motor with the conventional DC motor. The experimental results show that the driving efficiency was increased and was inproved compressive force by suggested BLDC motor.

• Transactions on Control, Automation and Systems Engineering
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• 제2권3호
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• pp.207-213
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• 2000

This paper introduces a high-performance speed control system based on artificial neural networks(ANN) to estimate unknown parameters of a DC servo motor. The goal of this research is to keep the rotor speed of the DC servo motor to follow an arbitrary selected trajectory. In detail, the aim is to obtain accurate trajectory control of the speed, specially when the motor and load parameters are unknown. By using an artificial neural network, we can acquire unknown nonlinear dynamics of the motor and the load. A trained neural network identifier combined with a reference model can be used to achieve the trajectory control. The performance of the identification and the control algorithm are evaluated through the simulation and experiment of nonlinear dynamics of the motor and the load using a typical DC servo motor model.