发明名称 Apparatus for controlling speed in railway vehicles
摘要 An apparatus for controlling speed in railway vehicles is disclosed, the apparatus estimates a future train speed and determines a control input (first speed control) configured to control a train speed based on a TTSLC {Time-To-Speed-Limit Crossing, a time taken by a train from a current time to exceed an ATP (Automatic Train Protection) speed profile, which is an ATP speed limit}, and determines a control input (second speed control) configured to control the train speed based on a difference between the ATP speed profile and an actual train speed, whereby the first speed control or the second speed control is selected in response to the TTSLC and outputted to the train.
申请公布号 US9517780(B2) 申请公布日期 2016.12.13
申请号 US201414538109 申请日期 2014.11.11
申请人 LSIS CO., LTD. 发明人 Jung Jongchul;Cho Yong Gee
分类号 B61C17/12;B61L27/00;B61L3/00;B61L25/02 主分类号 B61C17/12
代理机构 Lee, Hong, Degerman, Kang & Waimey 代理人 Lee, Hong, Degerman, Kang & Waimey
主权项 1. An apparatus for controlling speed in railway vehicles, the apparatus comprising: a first controller configured to estimate a future train speed and to determine a first speed control to control a train speed based on a TTSLC (Time-To-Speed-Limit Crossing) that is a time taken by a train from a current time to exceed an ATP (Automatic Train Protection) speed profile that is an ATP speed limit; a second controller configured to determine a second speed control to control the train speed based on a difference between the ATP speed profile and actual train speed; and a selection unit configured to select the first speed control or the second speed control in response to the TTSLC and to output the selection to the train, wherein the second controller includes a first generation unit configured to generate an ATO (Automatic Train Operation) speed profile using the ATP speed profile, a second generation unit configured to generate a speed error that is a difference between the ATO speed profile and the actual train speed, and a third controller configured to output the second speed control by performing a PI (Proportionate Integral) control based on the speed error, wherein the first controller includes: a first estimation unit configured to estimate current train speed through a non-linear observer using train data including a propulsive force, a braking force and an acceleration of the train and to estimate track data including a track curvature and a track gradient;a second estimation unit configured to estimate future train speed using the estimated current train speed;a calculation unit configured to calculate the TTSLC through a time when the train exceeds the ATP speed profile while the train maintains a current acceleration or deceleration; anda fourth controller configured to output the first speed control using the calculated TTSLC, wherein the first estimation unit includes: a third generation unit configured to generate a dynamic model of the train using the train data and the estimated track data;a design unit configured to design the non-linear observer based on the generated dynamic model, the train data and the estimated track data; anda third estimation unit configured to estimate the current train speed through the non-linear observer based on the current acceleration, wherein the third estimation unit performs: estimation of the current train speed using previous train speed and previous track data;estimation of the current acceleration using the estimated current train speed, current train data and the previous track data;determination of an estimation error using a difference between acceleration included in the current train data and the estimated current acceleration;prediction of current estimation error covariance using previous error covariance, process noise covariance, and a process Jacobian matrix;determination of current Kalman filter gain using the predicted current estimation error covariance, a current measured noise covariance and a Jacobian matrix of measurement variable;calibration of the predicted current estimation error covariance using the determined current Kalman filter gain; andestimation of the current train speed by calibrating predicted train speed using the determined estimation error and the determined current Kalman filter gain.
地址 Anyang-si KR