DocumentCode :
669409
Title :
A study on the ride comfort control using automatic generating data base on board for electric railway vehicle(ICCAS 2013)
Author :
Seong-Ho Han
Author_Institution :
Div. of Adv. High-Speed Railway Res., Korea Railroad Res. Inst., Uiwang, South Korea
fYear :
2013
fDate :
20-23 Oct. 2013
Firstpage :
464
Lastpage :
465
Abstract :
To enhance the control performance of tilting ride comfort, the predictive tilting control techniques has been developed based on GPS database, accelerometer and gyroscope on board train. An existing tilting control has been used a data base which was put line information into the control system manually linked to the ground marker for detecting of train position. For ease of maintenance, the automatic data base connected to GPS was used on the tilting control no need to make any change in line information. In this paper, in order to evaluated the riding comfort of this method, the trial run test was performed in the Gyeongbu line(between Seoul and Susan), which is considered for tilting train commercial service. Tilting train express(TTX) was tested to run at design speed 200 km/h and at service speed 180 km/h. We analyzed the riding comfort of tilting control on curves to get the potential of a speed up. In this approach, we obtained very clear results that made standard of riding comfort satisfied.
Keywords :
Global Positioning System; accelerometers; attitude control; electric locomotives; ergonomics; gyroscopes; predictive control; rail traffic control; GPS database; Gyeongbu line; TTX; accelerometer; automatic generating data base on board; design speed; electric railway vehicle; gyroscope; line information; predictive tilting control techniques; service speed; tilting ride comfort control performance; tilting train commercial service; tilting train express; trial run test; Acceleration; Rail transportation; GPS database; Tilting control; predictive control; riding comfort;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2013 13th International Conference on
Conference_Location :
Gwangju
ISSN :
2093-7121
Print_ISBN :
978-89-93215-05-2
Type :
conf
DOI :
10.1109/ICCAS.2013.6703975
Filename :
6703975
Link To Document :
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