• Title/Summary/Keyword: Train velocity

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진공튜브 내 초고속열차의 공기저항 파라메타 연구 - 1 (Parametric Study on the Aerodynamic Drag of Ultra High-speed Train in Evacuated Tube - Part 1)

  • 권혁빈;강부병;김병윤;이두환;정현주
    • 한국철도학회논문집
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    • 제13권1호
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    • pp.44-50
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    • 2010
  • 본 연구에서는 튜브-열차 시스템의 기본적인 유동장의 특성을 파악하고, 튜브열차의 공기저항을 계산할 수 있는 보다 효율적인 수치 해법을 제시하고 계산 결과에 대한 타당성을 논하였다. 최소한의 계산 영역 내에선 정상상태의 해를 찾기 위하여 비정상 해석의 결과를 기준으로 하여 경계조건의 부여 방법을 변화시킨 정상 해석의 결과를 비교한 결과, 열차속도가 300 km/h일 경우에는 공기저항의 값이 정상해석 결과와 비정상해석 결과가 잘 일치하였으며, 동일 속도 대역에서의 고속열차 현장시험 결과와 비교한 결과 열차/터널 단면적비에 따라 공기저항의 비가 동일한 추세를 나타나는 것으로 나타났다.

위치신호 보상 및 추정을 통한 초고속 자기부상철도 추력 성능 향상 (Thrust Performance Improvement through Position Signal Compensation and Estimation in Super Speed Maglev)

  • 이진호;조정민;한영재;이창영
    • 한국산학기술학회논문지
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    • 제14권10호
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    • pp.4739-4746
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    • 2013
  • 본 논문에서는 초고속 자기부상철도 추진 제어에 필수적인 차량의 위치검지에 있어서 위치신호 송신지연 및 송신주기가 추력에 미치는 영향을 수치적으로 분석하고 test bed를 이용한 실험을 통해 이를 확인하였다. 위치신호 송신문제를 해결하기 위한 방안으로서 위치신호 보상 및 추정 기법을 제시하였으며 제시된 방법을 test bed에 적용하여 효용성을 검증하였다. 적용 결과 추력이 크게 증가하였으며 이에 따라 차량의 가속도 및 속도 성능이 향상됨을 확인하였다. 본 방법은 향후 개발 예정인 한국형 초고속 자기부상철도의 위치검지시스템에 효과적으로 사용될 수 있을 것으로 판단된다.

Optimization of the anti-snow performance of a high-speed train based on passive flow control

  • Gao, Guangjun;Tian, Zhen;Wang, Jiabin;Zhang, Yan;Su, Xinchao;Zhang, Jie
    • Wind and Structures
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    • 제30권4호
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    • pp.325-338
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    • 2020
  • In this paper, the improvement of the anti-snow performance of a high-speed train (HST) is studied using the unsteady Reynolds-Averaged Navier-Stokes simulations (URANS) coupled with the Discrete Phase Model (DPM). The influences of the proposed flow control scheme on the velocity distribution of the airflow and snow particles, snow concentration level and accumulated mass in the bogie cavities are analyzed. The results show that the front anti-snow structures can effectively deflect downward the airflow and snow particles at the entrance of the cavities and alleviate the strong impact on the bogie bottom, thereby decrease the local accumulated snow. The rotational rear plates with the deflecting angle of 45° are found to present well deflecting effect on the particles' trajectories and force more snow to flow out of the cavities, and thus significantly reduce the accretion distribution on the bogie top. Furthermore, running speeds of HST are shown to have a great effect on the snow-resistance capability of the flow control scheme. The proposed flow control scheme achieves more snow reduction for HST at higher train's running speed in the cold regions.

고속전철 슬레브궤도에서의 노반거동 특성에 관한 연구 (A Study on the Behavior Character of Roadbed in High-Speed Railway Slab Tract)

  • 조용권;이성혁;황선근
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2000년도 가을 학술발표회 논문집
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    • pp.319-326
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    • 2000
  • It is investigated character of the dynamic behavior at over excavation zone of roadbed using crushed stone instead of lean concrete. It is considered that behavior of roadbed using PENTAGON-3D and Baber's equation. Typical load of sine wave type using impact factor is compared to moving load system to examine relationship in using PENTAGON-3D case. Variations of this paper are material properties of roadbed, train velocity, subgrade bearing capacity. Using variations, safety of roadbed is estimated by dynamic behavior character.

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최대 200km/h로 속도 향상된 Catenary system에 적용한 절연구분장치 (A study on neutral section device adopted in the catenary system with maximum speed of 200km/h)

  • 안영훈;강창호
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2003년도 추계학술대회 논문집(III)
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    • pp.541-546
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    • 2003
  • The study is about a neutral section device adopted in the catenary system in connection with KNR's project to electrify the conventional Honam-Line. A neutral section device(PTFE type) adopting into catenary system accepts a train velocity of 200km/h, installed firstly in Korea electric. railway system. This study shows technologies and construction cases of the neutral section device.

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다층 신경회로 및 역전달 학습방법에 의한 로보트 팔의 다이나믹 제어 (Dynamic Control of Robot Manipulators Using Multilayer Neural Networks and Error Backpropagation)

  • 오세영;류연식
    • 대한전기학회논문지
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    • 제39권12호
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    • pp.1306-1316
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    • 1990
  • A controller using a multilayer neural network is proposed to the dynamic control of a PUMA 560 robot arm. This controller is developed based on an error back-propagation (BP) neural network. Since the neural network can model an arbitrary nonlinear mapping, it is used as a commanded feedforward torque generator. A Proportional Derivative (PD) feedback controller is used in parallel with the feedforward neural network to train the system. The neural network was trained by the current state of the manipulator as well as the PD feedback error torque. No a priori knowledge on system dynamics is needed and this information is rather implicitly stored in the interconnection weights of the neural network. In another experiment, the neural network was trained with the current, past and future positions only without any use of velocity sensors. Form this thim window of position values, BP network implicitly filters out the velocity and acceleration components for each joint. Computer simulation demonstrates such powerful characteristics of the neurocontroller as adaptation to changing environments, robustness to sensor noise, and continuous performance improvement with self-learning.

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Performance of Different Sensors for Monitoring of the Vibration Generated during Thermosonic Non-destructive Testing

  • Kang, Bu-Byoung
    • 비파괴검사학회지
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    • 제31권2호
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    • pp.111-117
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    • 2011
  • Vibration monitoring is required for reliable thermosonic testing to decide whether sufficient vibration is achieved in each test for the detection of cracks. From a practical point of view, a cheaper and convenient monitoring method is better for the application to real tests. Therefore, the performance of different sensors for vibration monitoring was investigated and compared in this study to find a convenient and acceptable measurement method for thermosonics. Velocity measured by a laser vibrometer and strain provide an equivalent HI when measured at the same position. The microphone can provide a cheaper vibration monitoring device than the laser and the heating index calculated by a microphone signal shows similar characteristics to that calculated from velocity measured by the laser vibrometer. The microphone frequency response shows that it underestimates high frequency components but it is applicable to practical tests because it gives a conservative value of HI.

고감성 로봇을 이용한 프로펠러 연삭에 관한 연구 (Study on Propeller Grinding Applied by a High Stiffness Robot)

  • Lee, M.K.;Park, B.O.;Park, K.W.
    • 한국정밀공학회지
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    • 제14권12호
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    • pp.56-65
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    • 1997
  • This paper presents the robot program for propeller grinding. A robot manipulator is constructed by combining a parallel and a serial mechanism to increase high sitffness as well as workspace. The robot program involves inverse/direct kinematics, velocity mapping, Jacobian, and etc. They are cerived in efficient formulations and implemented in a real time control. A velocity control is used to measure the hight of a propeller blade with a touch probe and a position control is performed to grind the surface of the blade.

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