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Automatic train operation device and train operation auxiliary device

A technology for automatic train operation and trains, which is applied in electric vehicles, transportation and packaging, control and drive, etc. It can solve problems such as energy loss, inability to reduce comprehensive energy loss, etc., and achieve the effect of reducing energy loss and realizing automatic train operation.

Inactive Publication Date: 2006-08-16
KK TOSHIBA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the energy loss generated in the train driving braking control also occurs in the driving control, and in the braking control, devices other than the mechanical brake may also have energy loss
If this is the case, the overall energy loss cannot be reduced

Method used

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  • Automatic train operation device and train operation auxiliary device
  • Automatic train operation device and train operation auxiliary device
  • Automatic train operation device and train operation auxiliary device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 7

[0244] In Embodiment 7, most of the learning is assumed to be the online automatic learning during the stop process when the train arrives at the station, etc., and the weight estimation during the power running process is assumed to be the online automatic estimation during the driving process. However, if a human-machine interface that can check the progress of learning is installed while the train is running, a system that performs online automatic learning while the train is running and utilizes the learning results by the driver's judgment can be realized. In this case, the learning device can be used as a single device as an auxiliary device for automatic train operation.

[0245] Fig. 19 shows the configuration of main parts of the automatic train operating device in the ninth embodiment. In this embodiment, as the after-business characteristic learning device, the automatic characteristic learning unit 1341, the automatic characteristic learning unit 1342, the automati...

Embodiment 11

[0250] In Embodiment 11, the automatic feature learning unit 134 performs feature learning through a disturbance observer. Disturbance observers are fully used in motion control and other work, and are devices used to identify disturbances (see 4.4 of "MATLAB Control System Design" (edited by Noha Takezo, co-authored by Nishimura Hidekazu and Hirata Mitsuo, Tokyo Denki University Press) for details Section "Disturbance Observer in Motion Control" P.99-102). Considering the train running resistance in formula (1) as the disturbance force in motion control, the disturbance observer can be used to continuously infer the train running external force. Using inference results for learning can greatly improve the accuracy of learning.

[0251] Next, Embodiment 12 of the present invention will be described in detail with reference to the drawings. Figure 20 It is a configuration diagram showing the automatic train operating device 1 and the data storage unit 201 .

[0252] The aut...

Embodiment 19

[0298] Embodiment 19 shows a configuration in which the "elapsed time consideration type" driving plan re-execution means 315 is combined with the "elapsed time consideration type" optimal travel plan generation means 314 . However, there may also be a structure that is combined with the ordinary optimal driving plan generation unit 307 that is not "employment time consideration type", that is, the Figure 23 to Figure 27 The driving plan recalculation units 308 and 311 in the system are replaced with the structure of the elapsed time consideration type driving plan recalculation unit 315 .

[0299] Figure 30 A block diagram showing the configuration of the automatic train operating device 1 according to the twentieth embodiment of the present invention. Figure 30 and Figure 29 The difference is that, Figure 29 The waste time-considering optimal travel plan generation unit 314 in is set as the forward prediction type optimal travel plan generation unit 316 . The forwar...

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Abstract

The invention relates an automatic train operating apparatus which can reduce energy loss that occurs during traveling to achieve energy-saved operation. This apparatus deal with an automatic train operation device that generates a traveling pattern, for making a train stop at a prescribed position at a prescribed time and that gives a traction command for achieving the traveling pattern to a driving and control device having an electrical apparatus. This device is provided with a loss index computing means (16), that computes a loss index that represents energy loss generated in the driving and controlling device during the train traveling time and a traveling pattern correcting means (19) that corrects the traveling pattern, based on the loss index to set a period of time, until the train stops at the prescribed position to a prescribed value.

Description

[0001] (This application is a divisional application of the earlier application 03133028.2) technical field [0002] The invention relates to an automatic train running device for automatically running a train so that unmanned trams can be positioned and stopped at regular intervals, and a train running auxiliary device for indicating the recommended thrust or the gear position of a main controller to the driver. Background technique [0003] The purpose of the automatic train operating device (hereinafter referred to as ATO) is to automatically carry out the inter-station operation of the train, so that the train can stop at a given parking position at the next station. The structure of the tram system equipped with this kind of ATO is as follows: Figure 47 shown. [0004] The speed limit signal sent by the automatic train control device (ATC) not shown will be input in the automatic train operation device 1, except the route conditions such as slope and curvature, from th...

Claims

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Application Information

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IPC IPC(8): B60L15/40B61L23/14G05B13/02
CPCY02T10/7275Y02T10/72
Inventor 大场义和小山敏博南洋太朗鎌田惠一结城和明德繁麻美波多野通広行木英明三吉京
Owner KK TOSHIBA
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