DocumentCode
2112221
Title
Adaptive control and optimal power/brake distribution of high speed trains with uncertain nonlinear couplers
Author
Song Qi ; Song Yongduan
Author_Institution
Center for Intell. Syst. & Renewable Energy, Beijing Jiaotong Univ., Beijing, China
fYear
2010
fDate
29-31 July 2010
Firstpage
1966
Lastpage
1971
Abstract
This paper focuses on the position and velocity tracking control problem of high speed trains consisting of multiple vehicles (i.e., locomotives and carriages). A new dynamic model explicitly reflecting the interactive impacts among the vehicles is established using multiple point-mass Newton equations. Such impacts, together with aerodynamic resistance, mechanical resistance and some other additional resistances due to uncertain operation railway conditions, are addressed in control design. Robust adaptive control strategy is proposed to ensure high precision speed and position tracking, which is realized through optimal power and brake distribution among the vehicles. It is shown that the control scheme is not only robust against external disturbances, but also adaptive to unknown system parameters. The effectiveness of the proposed approach is also confirmed through numerical simulations.
Keywords
Newton method; adaptive control; aerodynamics; brakes; control system synthesis; nonlinear control systems; position control; railway rolling stock; robust control; vehicle dynamics; velocity control; aerodynamic resistance; carriages; high speed trains; locomotives; mechanical resistance; multiple point-mass Newton equations; multiple vehicles; optimal power/brake distribution; position control; robust adaptive control; uncertain nonlinear couplers; velocity tracking control; Adaptation model; Aerodynamics; Force; Mathematical model; Resistance; Vehicle dynamics; Vehicles; High Speed Train; In-Train Force; Multiple Point-Mass Model; Optimal Power/Brake Distribution; Robust Adaptive Control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2010 29th Chinese
Conference_Location
Beijing
Print_ISBN
978-1-4244-6263-6
Type
conf
Filename
5573612
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