• 한국산학기술학회논문지
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• 제19권10호
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• pp.430-436
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• 2018

궤도보수용 특수철도차량은 열차 운행동안 철도차량의 진동저감 및 승차감 향상을 위하여 다양한 궤도틀림을 조정하는 탬핑장치를 장착한다. 궤도틀림의 선형화 작업에 대한 인적 오류를 감소하기 위하여 실제 탬핑작업의 착오를 바로 확인할 수 있는 모의 훈련연습기의 개발이 중요하다. 기존 2차원 시뮬레이터의 현실성 및 훈련효과를 높이기 위하여 본 연구에서는 가상현실 공간상에서 본 특수철도차량의 탬핑작업에 대하여 3차원 시뮬레이터 모델링을 구현하였다. 탬핑작업동안 고화질화면 작동 시 발생되는 버퍼링 문제는 고화질 다각형 모델링에서 추출한 로우 다각형의 Unwrap UVW 매핑기법을 사용하여 해결하였다. 탬핑작업의 훈련시 발생하는 인적오류는 침목과 탬핑유니트의 탬핑타인 충돌 유무를 원과 사각형 충돌원리로 감지된다. 또한 충돌과 동시에 작업운전실 의자의 진동이 발생되며, 모의연습기 화면에 침목 타격수량이 현시되므로 훈련생의 숙달정도까지 인지하도록 제작되었다. 그리고 침목위에 튀어 오른 자갈은 차량주행 안전성 심각한 영향을 미치므로 탬핑유니트에 자갈 튀는 효과를 적용하였다.

• Smart Structures and Systems
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• 제32권2호
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• pp.83-99
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• 2023

The temperature prediction approaches of three important locations in an operational longitudinal slab track-bridge structure by using three typical neural network methods based on the field measuring platform of four meteorological factors and internal temperature. The measurement experiment of four meteorological factors (e.g., ambient temperature, solar radiation, wind speed, and humidity) temperature in the three locations of the longitudinal slab and base plate of three important locations (e.g., mid-span, beam end, and Wide-Narrow Joint) were conducted, and then their characteristics were analyzed, respectively. Furthermore, temperature prediction effects of three locations under five various meteorological conditions are tested by using three neural network methods, respectively, including the Artificial Neural Network (ANN), the Long Short-Term Memory (LSTM), and the Convolutional Neural Network (CNN). More importantly, the predicted effects of solar radiation in four meteorological factors could be identified with three indicators (e.g., Root Means Square Error, Mean Absolute Error, Correlation Coefficient of R2). In addition, the LSTM method shows the best performance, while the CNN method has the best prediction effect by only considering a single meteorological factor.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.699-701
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• 2004

This paper proposes the algorithm of servo- writing based on feedback error learning neural networks. The controller consists of feedback controller using PID and feedforward controller using gaussian radial basis function network. Because the RBFNs are trained by on-line rule, the controller has adaptation capability. The performance of the proposed controller is compared to that of conventional PID controller. Proposed algorithm shows better performance than PID controller.

• 한국정밀공학회지
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• 제13권5호
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• pp.131-138
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• 1996

This paper suggests a servo control algorithm to reduce the repeatable tracking error which is not explicitly taken into account in the design of a conventional PID controller of a computer hard disk drive. The robust stability of the repetitive control system with multiplicative modelling error is analyzed, and the controller was implemented using a fixed point DSP(Digital Signal Processor). Experimental results show that the repetitive errors are suppressed effectively by the proposed controller.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
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• pp.110-113
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• 2002

This paper propose a method for the temperature control using cool-plate in the track equipment. The employed control algorithm is PID control algorithm. The control gains are found using relay auto-tuning algorithm. After that the gains are adjusted manually in trial and error. The control hardware circuit is designed and implemented in the lab. The controlled temperature reached the desired value Within $\pm0.05^{\circ}C$ accuracy.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2002년도 추계학술대회논문집
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• pp.140-145
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• 2002

In high-capacity disk drives with ever-growing track density, the allowable level of position error signal (PES) is becoming smaller and smaller. A substantial portion of the PES is caused by disk vibration. This can be reduced by using a head gimbal assemblies (HGAs) that do not confine the slider movement to the vertical direction to disks, but allow movement to the radial direction of disks with respect to disk vibration. Several types of HGAs are proposed for such radial motion of the slider. Experimental results show that the PES levels are reduced by the proposed HGA-design concepts.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2002년도 추계학술대회논문초록집
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• pp.320.2-320
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• 2002

In high-capacity disk drives with ever-growing track density, the allowable level of position error signal (PES) is becoming smaller and smaller. A substantial portion of the PES is caused by disk vibration. This can be reduced by using a head gimbal assemblies (HGAs) that do not confine the slider movement to the vertical direction to disks, but allow movement to the radial direction of disks with respect to disk vibration. Several types of HGAs are proposed for such radial motion of the slider. (omitted)

• 한국철도학회논문집
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• 제13권3호
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• pp.304-308
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• 2010

본 연구에서는 웨이브렛 변환을 이용하여 궤도틀림을 식별하는 방법을 제시하였다. 궤도틀림과 대차 가속도응답신호에 의한 등가 웨이브렛 SISO 전달함수를 정의하였다. 현장에 적용되는 검측차의 25cm단위 궤도검측 기준에 맞추어 궤도틀림과 대차가속도 응답신호를 조정하였다. 웨이브렛 변환을 적용하기 전 입력데이터는 웨이브렛 변환 정의 조건에 맞추어 범위를 재조정한 회귀신호이다. 또한, 웨이브렛 역전 달 함수를 정의하여, 궤도틀림을 역 추정하였다. 추정된 궤도틀림과 실제의 궤도틀림의 비교를 위해 상관도와 FRF를 비교 분석하였다. 예측된 값과 기준 값 과의 잔 차의 분산비로 정의되는 틀림지수를 사용하여 궤도틀림의 이상을 분석하였으며, 개발될 알고리즘을 검증하기 위하여 시뮬레이션 연구를 수행하였다.

• 대한전기학회논문지:시스템및제어부문D
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• 제55권2호
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• pp.65-67
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• 2006

To make the autonomous mobile robot move in the unknown space, we have to know the information of current location of the robot. So far, the location information that was obtained using Encoder always includes Dead Reckoning Error, which is accumulated continuously and gets bigger as the distance of movement increases. In this paper, we analyse the effect of the size of the two wheels of the mobile robot and the wheel track of them among the factors of Dead Reckoning Error. And after this, we compensate this Dead Reckoning Error by Kalman filter using Gyro Sensors. To accomplish this, we develop the controller to analyse the error components of Gyro Sensor and to minimize the error values. We employ the numerical approach to analyse the error components by linearizing them because each error component is nonlinear. And we compare the improved result through simulation.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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• pp.3156-3159
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• 2011

In case of the continuous welded rail(CWR) track is supported by the railway bridge, the additional axial force is occurred in the CWR due to the track-bridge interaction. In the various design codes such as Korean code, European code, UIC code, etc, three important loads(temperature variation in the bridge-deck, braking/acceleration and the bending of the bridge-deck resulted from the passing train) are treated as the independent loading case. In other words, the additional axial force can be obtained by summing up the three different values calculated by the three independent analysis. However, this analysing method may have an error because the behavior of the longitudinal resistance between the rail and the bridge-deck is under the highly nonlinear. Therefore, in order to exactly analyse the track-bridge interaction, nonlinear loading history and the change of the longitudinal resistance owing to the loading history must be considered in the analysis process. In this study, the loading history effect on the track-bridge interaction is investigated considering the resonable combination of three loads and the longitudinal resistance change.