• Title/Summary/Keyword: Accurate Stopping Control

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A Study on the Accurate Stopping Control of a Train for the Urban Rail Transit Using Kalman Filter (칼만 필터를 이용한 도시철도 열차 정위치 정차에 관한 연구)

  • Kim, Jungtai;Lee, Jaeho;Kim, Moo Sun;Park, Chul Hong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.11
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    • pp.655-662
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    • 2016
  • Accurate stopping control is important for trains, especially now that many train stations are equipped with platform screen doors. Various algorithms have been proposed for accurate stopping control. However, most metro trains in South Korea use classic control algorithms such as PID control because other algorithms are too complex to realize. PID control has merits of simple structure and operation. However, PID control sometimes fails, and much time is needed to find the proper coefficients due to the long control period and the brake delay. We propose a control algorithm that uses a Kalman filter. The Kalman filter estimates the states at the time when braking starts. Then, a suitable control input is derived for proper control. System modeling and a computer simulation were performed with consideration of the brake properties and the period of the control system. The superiority of the proposed control algorithm is shown by analyzing stop errors.

Errors in Recorded Information and Calibration of a Catchment Modelling System(II) - Monitoring Calibration Approach - (기록치 오차와 유역모형의 검정(II) - 모니터링 검정방법 -)

  • Choi, Kyung Sook
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.45 no.5
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    • pp.117-125
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    • 2003
  • Since the recorded information used for operation of a catchment modelling system contain errors that influence the calibration of catchment modelling system control parameter values, the accurate estimation of these parameters is difficult. Despite these influences, existing traditional calibration approaches focus only on achieving the best "curve fitting" between simulated and recorded data, and not on generic evaluation of control parameter values. This paper introduces an Early Stopping Technique which is aimed at avoiding the procedure of curve-fitting through monitoring improvements in the objective function used for assessing the optimal parameter set. Application of this approach to the calibration of SWMM (Storm Water Management Model) on the Centennial Park catchment in Sydney, Australia is outlined. outlined.

A Study on Dynamic Behaviour of the Nonlinear Pneumatic System (비선형 공압시스템 특성해석)

  • Kim, Dong-Su;Kim, Hyeong-Ui
    • 연구논문집
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    • s.27
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    • pp.153-166
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    • 1997
  • In industry pneumatic control system has become a important means to obtain automation because of its simplicity, fast speed and low cost. However Due to of the compressibility of air and damping friction between moving parts, it is difficult to achieve high speed driving, accurate positioning and stopping without overshoot in one pneumatic control system. This paper describes the dynamic behaviors of pneumatic linear actuator. The results will be very useful in the prediction of actuated dynamics and for the manufacturers to improve the techniques in their redesign and get better performance. Also, the experimental data is very important for the dynamic simulation and theoretical analysis.

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Damping Control of the HB step motor using the BACK-EMF signal (역기전력을 이용한 HB스텝 모터 의 댐핑 제어)

  • Chun, Seong-Ho;Huh, Uk-Youl;Lee, Seung-Hoo
    • Proceedings of the KIEE Conference
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    • 1989.07a
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    • pp.75-78
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    • 1989
  • In this paper, A last time delay damper is presented for HB ( HyBrid ) step motor, which has large oscillation characteristics.The design objective is to develop a cost-effective and good-performance damper that would be applyed to HB step motor / driver system without the addition of transducer that would add a weight, size and cost to the system. The Back EMF signal which is recovered from current and voltage signal is used for the measuring the rotor position. It would be possible to get more accurate delay time for the motor driver system. It is proved that the maximum overshoot can be reduced to 13% at stopping through experiment.

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