Title :
A norm optimal iterative learning control based train trajectory tracking approach
Author :
Heqing Sun ; Zhongsheng Hou ; Dayou Li
Author_Institution :
Adv. Control Syst. Lab., Beijing Jiaotong Univ., Beijing, China
Abstract :
A norm optimal iterative learning control (NOILC) is proposed and applied in train trajectory tracking problem, and it then is extended to the cases with traction/braking constraint. Rigorous theoretical analysis has shown that the proposed approach can guarantee the asymptotic convergence of train speed and position to desired profiles as iteration number goes infinity. Simulation results further demonstrate the effectiveness of the proposed NOILC approach.
Keywords :
adaptive control; iterative methods; learning systems; optimal control; railways; trajectory control; NOILC; asymptotic convergence; braking constraint; norm optimal iterative learning control; railways; traction constraint; train trajectory tracking approach; Convergence; Dynamics; Equations; Force; Load modeling; Mathematical model; Trajectory;
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2012.6426487
