• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.196-196
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• 2000

This paper describes a lateral guidance system of an autonomous vehicle, using a neural network model of magneto-resistive sensor and magnetic fields. The model equation was compared with experimental sensing data. We found that the experimental result has a negligible difference from the modeling equation result. We verified that the modeling equation can be used in simulations. As the neural network controller acquires magnetic field values(B$\_$x/, B$\_$y/, B$\_$z/) from the three-axis, the controller outputs a steering angle. The controller uses the back-propagation algorithms of neural network. The learning pattern acquisition was obtained using computer simulation, which is more exact than human driving. The simulation program was developed in order to verify the acquisition of the teaming pattern, teaming itself, and the adequacy of the design controller. The performance of the controller can be verified through simulation. The real autonomous electric vehicle using neural network controller verified good results.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회B
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• pp.2149-2153
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• 2008

A large-scale fire test was done for interior materials from a vehicle installed within a fire test room. The interior materials are satisfied with the Korean guide for the safety of rail vehicle. The guide has taken effect since December 2004 in Korea. Ignition source (gas burner) was increased in several controlled steps. The objectives of this test are to assess the fire performance in terms of ignition and flame spread on interior lining materials and to provide data on an enclosure fires involving train interior materials that grow to flashover. This data will be used to develop and calibrate an Fire Dynamics Simulator (FDS) model for fire growth on the interior vehicle.

• 전력전자학회논문지
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• 제7권1호
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• pp.74-80
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• 2002

철도차량용 추진시스템은 안전성과 신뢰성 때문에 성능을 평가해야만 한다. 일반적으로 Flywheel Type시험방법은 시험설비로 널리 사용되고 있다 그러나 Flywheel에 의해 생기는 기계적 관성은 변하기 어렵고 실제적인 주행저항을 표현할 수 없다. 본 연구는 다양한 차량부하의 개발에 초점을 두고 수행되었다. 그렇기 때문에 실제적인 차량 부하 특성을 얻기 위해 벡터모터에 의해 제어되는 다양한 차량부하를 사용하는 방법을 제안하였고 컴퓨터 시뮬레이션을 통해 결과를 확인하였다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 추계학술대회 논문집
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• pp.590-595
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• 2008

A large-scale fire test was done for interior materials from a vehicle installed within a fire test room. The interior materials are the old style before interior replacement by the Korean guideline for the safety of rail vehicle. Ignition source (gas burner) was increased in several controlled steps. The objectives of this test are to assess the fire performance in terms of ignition and flame spread on interior lining materials and to provide data on an enclosure fires involving train interior materials that grow to flashover. This data will be used to develop and calibrate an Fire Dynamics Simulator (FDS) model for fire growth on the interior vehicle.

• 대한인간공학회지
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• 제21권3호
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• pp.25-34
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• 2002

The road sign in dynamic traffic system is an important element which affects on human cognitive performance on driving. Web-based vision system simulator was developed to examine the cognition time of the road sign in dynamic environment. This experiment the cognition time of the road sign in dynamic environment. This experiment was designed in with-subject design with two factors: vehicle speed and the amount of information of the traffic sign. It measured the cognition time of the road sign through two evaluation methods: the subjective test with vision system simulator and computational cognitive model. In these two evaluations of human cognitive performance under the dynamic traffic environment, it demonstrated that subject's cognition time was affected by both the amount of information of traffic sign and driving speed.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2002년도 춘계학술대회논문집
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• pp.163-168
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• 2002

The road sign in dynamic traffic system is an important element which affects on human cognitive performance on driving. Web-based vision system simulator was developed to examine the cognition time of the road sign in dynamic environment. This experiment was designed in within-subject design with two factors; vehicle speed and the amount of information of the traffic sign. It measured the cognition time of the road sign through two evaluation methods; the subjective test with vision system simulator and computational cognitive model. In these two evaluations of human cognitive performance under the dynamic traffic environment, it demonstrated that subject's cognition time was affected by both the amount of information of traffic sign and driving speed.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.128.1-128
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• 2001

A propulsion system apparatus is needed for a railroad vehicle to test and estimate propulsion performance. The electrical inertia simulator to facilitate the development and testing of propulsion systems, is presented in this paper. It is based on a vector-controlled Induction motor drive supplied from the AC mains through a double PWM converter that provides desirable features such as hi-directional power folw, nearly unity power factor and low harmonic factor at the Ac mains. A theoretical analysis is first presented, followed by a detailed simulation study to assess the overall system performance under dynamic conditions.

• 한국철도학회논문집
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• 제15권1호
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• pp.9-16
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• 2012

철도차량의 탈선은 발생 시 대형사고로 이어질 수 있어, 철도차량의 주행안전 확보 문제는 철도운영기관 및 시설기관의 주요 현안 사항이다. 현재 대차의 동적 안정성 특성 시험은 대차 주행시험대라는 시험설비를 이용하여 시험을 하고 있다. 그러나 실물을 대상으로 한 실물규모의 주행시험대상에서의 동특성 시험은 시험 준비와 관련된 시험비용 및 시험소요 시간의 증가, 다양한 시험조건 설정 측면에서 어려움이 있다. 이러한 단점을 극복하고자 시험 편의성 측면에서 축소형 주행시험대를 활용하고 있으나 국내에서는 아직까지 축소대차, 축소트랙 등의 기초적인 수준의 연구가 진행되고 있다. 본 연구에서는 철도차량의 동적 거동을 예측하는 방법으로서 소형탈선시뮬레이터를 이용하여 상사기법이 적용된 1/5 축소대차의 주행안정성 시험에 대한 연구를 수행하였다. 또한, 시험데이터와 해석데이터를 비교·검증하기 위하여 상용해석프로그램을 이용하여 해석모델을 구현하고, 이를 이용하여 도향상에 따른 1/5 축소대차의 동적특성을 확인하였다.

• 한국산학기술학회논문지
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• 제13권6호
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• pp.2484-2490
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• 2012

본 연구는 EV용 전기차동차의 차세대 에너지원인 리튬이온 배터리 팩을 관리하는 BMS의 성능 검증을 위한 시뮬레이터의 Cell simulation 보드와 이를 컨트롤 할 수 있는 임베디드 프로그램을 개발 하였다. 그리고 시뮬레이터의 속도를 향상시키고, 시스템 단가를 낮출 수 있는 Amplifier를 직렬로 연결하는 방식을 고안하여 OP amp와 트랜지스터를 직렬로 연결하였다. 또한, DAC를 채널마다 사용하여 채널간 절연(isolation)성능 을 기존 방식보다 향상 시켰다. 그리고 전류 제한 보호회로를 구성하여, 외란으로부터 보드를 보호 할 수 있도록 하였다. 개발된 시뮬레이터의 성능 검증을 위하여 각 셀에 5V부터 0.5V까지 0.5V의 크기로 전압을 강하 시키면서 총 10번의 실험을 하였다. 실험 데이터의 유의성 분석 결과, 모든 실험 조건에서 평균 0.001~0.004V 표준 편차로 출력되는 것을 확인하였으며, 이를 통하여 본 시뮬레이터가 높은 유의성 및 반복성을 가지는 시스템임을 확인 할 수 있었다.

• 제어로봇시스템학회논문지
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• 제19권8호
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• pp.718-724
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• 2013

In today's automotive industry, there exist several systems that help drivers reduce the possibility of accidents, such as the ADAS (Advanced Driver Assistance System). The ADAS helps drivers make correct and quick decisions during dangerous situations. This study analyzed the performance of the IMM (Interacting Multiple Model) method based on multiple Kalman filters using the data acquired from a driving simulator. An IMM algorithm is developed to identify the current discrete state of neighboring vehicles using the sensor data and the vehicle dynamics. In particular, the driving modes of the neighboring vehicles are classified by the cruising and maneuvering modes, and the transition between the states is modeled using a Markovian switching coefficient. The performance of the IMM algorithm is analyzed through realistic simulations where a target vehicle executes sudden lane change or acceleration maneuver.