• Title/Summary/Keyword: multi-train

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Design on Multi-Surveillance System for turn-out stations of the railway

  • Oh, Se-Ho;Park, Jung-Gyun;Park, Hyen-Young;Lee, Yong-Jae;Kim, Yang-mo
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -1
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    • pp.579-582
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    • 2002
  • For train service, safety and reliability is an inevitable performance. Specially, turn-out system of the railway for safety because of actual part. Hence the management is strictly executed over turn-out systems of the railway. Also number of turn-out system need to monitoring systems. In this paper, the data multi-acquisition system for monitoring it is necessary to reduce the cost from the expensive characteristics of multi-monitoring system according to the importance of each data because this system is based on communication of one to several units. We designed the data multi-acquisition system using numbers of micro-controller and the experiment was executed to the actual turn-out system.

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Self-adaptive Online Sequential Learning Radial Basis Function Classifier Using Multi-variable Normal Distribution Function

  • ;김형중
    • 한국정보통신설비학회:학술대회논문집
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    • 한국정보통신설비학회 2009년도 정보통신설비 학술대회
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    • pp.382-386
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    • 2009
  • Online or sequential learning is one of the most basic and powerful method to train neuron network, and it has been widely used in disease detection, weather prediction and other realistic classification problem. At present, there are many algorithms in this area, such as MRAN, GAP-RBFN, OS-ELM, SVM and SMC-RBF. Among them, SMC-RBF has the best performance; it has less number of hidden neurons, and best efficiency. However, all the existing algorithms use signal normal distribution as kernel function, which means the output of the kernel function is same at the different direction. In this paper, we use multi-variable normal distribution as kernel function, and derive EKF learning formulas for multi-variable normal distribution kernel function. From the result of the experience, we can deduct that the proposed method has better efficiency performance, and not sensitive to the data sequence.

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로터 회전 및 타워의 탄성력을 고려한 MW 급 풍력발전기의 비선형 다물체 동적 응답 해석 (Multi-Body Dynamic Response Analysis of a MW-Class Wind Turbine System Considering Rotating and Flexibility)

  • 김동만;김동현;김요한;김수현
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2009년도 춘계학술대회 논문집
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    • pp.78-83
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    • 2009
  • In this study, computer applied engineering (CAE) techniques are fully used to conduct structural and dynamic analyses of a whole huge wind turbine system including composite blades, tower and nacelle. For this study, computational fluid dynamics (CFD) is used to predict aerodynamic loads of the rotating wind-turbine blade model. Multi-body dynamic structural analyses are conducted based on the non-linear finite element method (FEM) by using super-element method for composite laminates blade. Three-dimensional finite element model of a wind turbine system is constructed including power train(main shaft, gear box, coupling, generator), bedplate and tower. The results for multi-body dynamic simulations on the wind turbine's critical operating conditions are presented in detail.

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NVH 향상을 위한 엔진 설치 시스템 최적화 (Engine Mounting System Optimization for Improve NVH)

  • 김장수
    • 한국산학기술학회논문지
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    • 제14권10호
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    • pp.4665-4671
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    • 2013
  • 엔진 설치 시스템은 차량의 NVH 성능에 매우 중요한 시스템 이다. 차량의 NVH 성능은 공회전 진동(Idle Vibration), 엔진 쉐이크(Engine Shake) 시동 진동(Key ON/OFF Vibration), 변속 진동(Gear Shift Vibration) 등 다양한 이론이 존재한다. NVH 성능 개선을 위해 이러한 이론들에 대한 실제적 최적화가 필요하며, 특히 최적의 엔진 설치 위치와 강성을 찾아내는 것이 매우 중요하다. 또한 효과적인 NVH 성능 개선을 위하여 차량개발 프로세스 측면에서 제약조건과 한계가 있는 사후 조정보다는 개발 초기에 최적화가 필요하다. 본 논문에서는 엔진 설치 시스템 관련 여러 이론에 대한 최적화 해석과 파워 트레인의 엄격한 모드 분리와 토크롤축(Torque Roll Axis), 탄성롤축(Elastic Roll Axis) 사이의 각도를 최소화 하는 다양한 시뮬레이션 케이스(Simulation Case)와 FE-모드를 개발초기에 수행하여 다중 최적화 분석을 함으로서 최적의 엔진 설치 위치와 강성을 찾아내어 NVH 성능을 개선하였다.

3D/1D 하이브리드 유한요소 모델을 이용한 동력 분산형 차세대 고속열차 전체차량의 충돌 해석 (Collision Analysis of the Next Generation High-speed EMU Using 3D/1D Hybrid FE Model)

  • 김거영;구정서
    • 한국자동차공학회논문집
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    • 제20권3호
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    • pp.67-76
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    • 2012
  • In this paper, collision analysis of the full rake for the Next Generation High-speed EMU is conducted using a 3D/1D hybrid model, which combines 3-dimensional (3D) front-end structure of finite element model and 1-dimensional (1D) multi-body dynamics model in order to analyze train collision with a standard 3D deformable obstacle. The crush forces, passengers' accelerations and energy absorptions of a full rake train can be easily obtained through a simulation of a 1D dynamics model composed of nonlinear springs, dampers and masses. Also the obtained simulation results are very similar to those of a 3D model if an overriding behavior does not occur during collision. The standard obstacle in TSI regulation has been changed from a rigid body to a deformable body, and therefore 3D collision simulations should be conducted because their simulation results depends on the front-end structure of a train. According to the obstacle collision analysis of this study, the obstacle collides with the driver's upper structure after overriding over the front-end module. The 3D/1D hybrid model is effective to evaluate a main energy-absorbing module that is frequently changed during design process and reduce the need time of the modeling and analysis when compared to a 3D full car body.

퍼지 모델 기반 다목적 제어기의 설계와 자기부상열차 자동운전시스템에의 적용 (Design of Fuzzy Model-based Multi-objective Controller and Its Application to MAGLEV ATO system)

  • 강동오;양세현;변증남
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 추계학술대회 학술발표 논문집
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    • pp.211-217
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    • 1998
  • Many practical control problems for the complex, uncertain or large-scale plants, need to simultaneously achieve a number of objectives, which may conflict or compete with each other. If the conventional optimization methods are applied to solve these control problems, the solution process may be time-consuming and the resulting solution would ofter lose its original meaning of optimality. Nevertheless, the human operators usually performs satisfactory results based on their qualitative and heuristic knowledge. In this paper, we investigate the control strategies of the human operators, and propose a fuzzy model-based multi-objective satisfactory controller. We also apply it to the automatic train operation(ATO) system for the magnetically levitated vehicles(MAGLEV). One of the human operator's strategies is to predict the control result in order to find the meaningful solution. In this paper, Takagi-Sugeno fuzzy model is used to simulated the prediction procedure. Another str tegy is to evaluate the multiple objectives with respect to their own standards. To realize this strategy, we propose the concept of a satisfactory solution and a satisfactory control scheme. The MAGLEV train is a typical example of the uncertain, complex and large-scale plants. Moreover, the ATO system has to satisfy multiple objectives, such as seed pattern tracking, stop gap accuracy, safety and riding comfort. In this paper, the speed pattern tracking controller and the automatic stop controller of the ATO system is designed based on the proposed control scheme. The effectiveness of the ATO system based on the proposed scheme is shown by the experiments with a rotary test bed and a real MAGLEV train.

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화물열차 증편일정 결정모형 (Additional Freight Train Schedule Generation Model)

  • 김영훈;임석철
    • 한국산학기술학회논문지
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    • 제15권6호
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    • pp.3851-3857
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    • 2014
  • 화물열차를 이용하는 화주의 화물열차 수요는 기간에 따라 변동성이 크나 화주의 요구에 따라 화물열차 스케줄을 조정하거나 증편하는 것은 상당한 시간이 소요된다. 그 이유는 해의 범위가 폭발적으로 증가하고 선로용량, 운영규정, 기존열차와의 경합 등을 고려해야하기 때문이다. 그러나 국내 철도 운영사에서 화물열차 증편일정 조정 업무는 지속적으로 발생하고 있으며, 담당자의 경험적인 역량으로 해결해 왔다. 본 논문에서는 증편되는 화물열차의 운행 가능성을 판단하고, 증편요청열차들이 기존 열차의 운행시간 지연을 최소로 하면서 가급적 많은 추가 스케줄을 생성할 수 있는 모형을 제시한다. 제시된 모형은 시공간 네트워크로 문제를 표현하고 다중상품 흐름문제로 모델링하여 열생성 기법으로 해를 구하였다. 제시된 모형으로 3가지 실험을 수행하였으며, 복잡한 문제의 경우에도 계산시간상 실용적임을 확인하였다.

자동차 파워 트레인 샤프트 가공용 8축 복합가공기의 고 강성 구조설계에 관한 연구 (High-Stiffness Structure Design of 8-Axis Multi-tasking Machine for Automotive Powertrain Shafts)

  • 문동주;조준현;최윤서;황인환;이종찬
    • 한국기계가공학회지
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    • 제15권2호
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    • pp.78-83
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    • 2016
  • The development of an exclusive 8-axis multi-tasking machine to finish multiple cutting processes by a single piece of power equipment for securing the high-precision machining and high productivity of the series of shafts (a core part of the automotive powertrain that delivers engine power) is needed. The rigidity of the structure must be improved and the weight of the structure must be reduced to develop a multi-tasking machine with high precision and high productivity. In this paper, we perform a static structural analysis of the initial design of the multi-tasking machines and compare the results of the multi-tasking machines improved by the reinforced design and the results of the initial one. According to the results of the structural analysis, the rigidity of the reinforced machine was increased and the overall weight was decreased. Therefore, the productivity was increased.

열차 하중에 의한 철도노반의 거동 분석 (An Analysis of Railroad Trackbed Behavior under Train Wheel Loads)

  • 박철수;최찬용;최충락;목영진
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2008년도 춘계 학술발표회 초청강연 및 논문집
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    • pp.587-598
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    • 2008
  • In the trackbed design using elastic multi-layer model, the stress-dependent resilient modulus is an important input parameter, which reflects substructure performance under repeated traffic loading. The resilient moduli of crushed stone and weathered granite soil were developed using nonlinear dynamic stiffness, which can be measured by in-situ and laboratory seismic tests. The prediction models of resilient modulus varying with the deviatoric or bulk stress were proposed (Park et al., 2008). To investigate the performance of the prediction models proposed herein, the elastic response of the test trackbed near PyeongTaek, Korea was evaluated using a 3-D nonlinear elastic computer program (GEOTRACK) and compared with measured elastic vertical displacement during the passages of freight and passenger trains. The material types of the test sub-ballasts are crushed stone and weathered granite soil, respectively. The calculated vertical displacements within the sub-ballasts are within the order of 1mm, and agree well with measured values with the reasonable margin. The prediction models are thus concluded to work properly in the preliminary investigation. The prediction models proposed for resilient modulus were verified by the comparison of the calculated vertical displacements with measured ones during train passages.

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차세대 고속전철시스템 개발을 위한 시스템 엔지니어링 체계 구축 -요구사항 관리체계와 PBS 관리체계를 중심으로- (Development and Application of Computer Aided Systems Engineering Processes for Next Generation High Speed Railway Train -Focus on Requirement Management Structure and PBS Management Structure-)

  • 유일상;박영원
    • 산업경영시스템학회지
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    • 제25권4호
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    • pp.22-31
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    • 2002
  • A high-speed rail system represents a typical example of large-scale multi-disciplinary systems, consisting of subsystems such as train, electrical hardware, electronics, control, information, communication, civil technology etc. The system design and acquisition data of the large-scale system must be the subject under strict configuration control and management. Not only the requirements of the large-scale system dictate the contracts with the suppliers but also become the basis for the development process, project execution, system integration, and testing. The requirements database provide the system design specification of all development activities. Using the RDD-100, a systems engineering tool, the Korea next-generation high-speed rail program can establish requirements traceability and development process management in performing the enabling train technology development projects. This paper presents the results from a computer-aided systems engineering application to the Korea next-generation high-speed railway project. Especially, the focus of the study was on requirement management and PBS(Product Breakdown Structure) management.