• 한국신재생에너지학회:학술대회논문집
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• 2008.05a
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• pp.546-549
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• 2008

Hyundai Motor Company has made an effort to develop fuel cell electric vehicle and its subsystem in recent years. This paper deal with the development of electric drive system applied to Hyundai's fuel cell electric vehicle. This system is composed of three main components such as motor, inverter and DC/DC converter. The specifications of each system is introduced briefly and experimental result of its main components is presented. In addition, we introduce the development status of power semiconductor device, film capacitor, inductor and permanent magnet.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1854-1855
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• 2011

BLDC 전동기의 제어는 홀소자의 정보를 이용하여 적절한 상전류 전환을 통해서 쉽게 회전시킬 수가 있다. BLDC 전동기는 직류 전동기와 비슷하게 인가된 전압에 따라 간단하게 속도를 제어가 가능하고 BLDC 전동기의 토크를 제어를 위해 내부에 전류 제어기를 갖는다. 하지만 불확실성과 외란의 영향으로 제어 시 어려움을 겪는다. 따라서 본 논문에서는 외란의 영향을 억제하는 방법으로 강인 제어 기법을 제안하여 불확실성과 외란의 영향을 억제하는 강인한 전류제어의 방법을 제시하며, 시뮬레이션을 통해 강인제어의 방법을 증명한다.

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.8 no.5
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• pp.56-64
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• 1994

본 논문은 직류초퍼구동 전동기 제어시스템을 해석 대상으로 하여 전류 연속모드와 전류 불연속모드의 양 모드 동작시에 있어서의 해석을 상태변수법과 상태평균화법을 적용하여 해석하였으며 두 해석 방법의 결과를 비교 검토함과 동시에 상태평균화법에 의하여 시스템의 해석이 근사적이지만 해석이 용이하다는 것을 나타내고 있다. 또한, 본 시스템의 궤환루프 제어시스템에 있어서 상태평균화법을 이용한 평형점 근방의 근사 선형화 방법을 적용함으로써 전달 매트릭스의 형태로 동특성을 표현할 수 있으며, 이것을 이용한 선형 제어법을 적용하여 궤환루프 제어계의 설계기법을 제시하고 있다.

• Proceedings of the KIEE Conference
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• 1992.07b
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• pp.623-625
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• 1992

This study presents a design method for linear DC motor which substituted for rotary combined with conversion apparatus and the designed motor is analyzed. To design the linear DC motor, magnetic cicuit network method is introduced and characteristics of motor at steady state are analyzed using FEM. And the transient behavior is investigated by using the finite element analysis coupling voltage equation and dynamic equation.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.33 no.10
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• pp.1038-1044
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• 2009

In this study, vibrations of an electric motor are analyzed when the motor has the interaction between mechanical and electromagnetic behaviors. For this vibration analysis a 3-phase 8-pole brushless DC motor is selected. Vibrations of the motor are influenced by coupled electromechanical characteristics. The variation of air-gap induced by vibration has an influence on the inductance of the motor coil. To analyze dynamic characteristics of the rotor, we studied inductance by the variation of an air-gap. After obtaining the kinetic, potential and magnetic energies for the motor, the equations of motion are derived by using Lagrange's equation. By applying the Newmark time integration method to the equations, the dynamic responses for the displacements and currents are computed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.4
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• pp.582-588
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• 2002

This paper presents a efficient sensorless driving strategy for brushless dc motor(BLDCM). By varying PWM switching frequency(4KHz, 6KHz, 8KHz) properly according to the rotating speed, the improvement of the efficiency and the operating characteristics through the wide speed are obtained.. The experimental results show that the proposed method can efficiently improve the sensorless driving performance for BLDCM with trapezoidal back emf.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.53 no.4
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• pp.212-220
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• 2004

The present DC Motor or STEP Motor have been used in electronic work and products. There are many papers that let those Motor improved more conveniently in controlling and measuring those than before. By controlling and measuring those, the convenience of users and the functions of products can be improved. In addition, the responding speed of whole system can be increased by improving it of controlling and measuring. Therefore it is necessary that we develop motor motion application. Because of this necessity, neural networks was used to improve the responding speed of controlling and measuring, and a new application was developed for the convenience of users. This paper showed that efficiency of controlling methodology by neural-network is superior to others in correctness and speed. We are intend to verify its practical usefulness though experimentations.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10a
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• pp.670-674
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• 1992

This paper presents a velocity regulation scheme for a DC motor subjected to random torque and velocity measurement noises of white noise type as well as unknown constant load torque (bias). The scheme separately estimates an unknown bias in addition to state estimation by the bias-free Kalman Filter, and reflects the effect of the bias estimate to the armature input voltage such that velocity variations be regulated. It is shown via computer simulations that the performance of the present scheme is superior to that of the conventional analog PI regulator.

• Journal of Institute of Control, Robotics and Systems
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• v.1 no.2
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• pp.94-98
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• 1995

This paper proposes an optimal design method for the weight and cost of a moving magnet typer linear DC motor (MM-LDM). The optimal design condition such as type and size of MM-LDM were determined by the trinary search algorithm after adjusting a standard function and its related parameters. In order to verigy results of the optimal design by the computer simulation, the designed values such as a thrust, a current, a velocity, and etc. of the fabricated MM-LDM were measured. And the measurement results are in good agreement with the designed ones.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.10
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• pp.44-52
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• 1994

In this paper, we assume that the dynamics of DC motor and nonlinear load are unknown. We propose an inverse dynamic model of DC motor and nonlinear load using the artificial neural network and construck speed control system based on the proposed dynamic model. We also propose another dynamic model with speed prediction scheme using the artificial neural network that removes the undesirable time delay effect caused by the computation time during the real-time control. We suggest a dynamic model which has arbitrary number of speed arguments and is especially effective when the motor and load has large moment of inertia. Next, we suggest a controller that combine the neurocontrol and PID control with constant gain. We show that the proposed neurocontrol systems have capabilities of noise rejection and generalization to have good velocity tracking through computer simulations and experiments.