TY  - JOUR
PY  - 2014//
TI  - High-speed train control based on multiple-model adaptive control with second-level adaptation
JO  - Vehicle system dynamics
A1  - Zhou, Yonghua
A1  - Zhang, Zhenlin
SP  - 637
EP  - 652
VL  - 52
IS  - 5
N2  - Speed uplift has become the leading trend for the development of current railway traffic. Ideally, under the high-speed transportation infrastructure, trains run at specified positions with designated speeds at appointed times. In view of the faster adaptation ability of multiple-model adaptive control with second-level adaptation (MMAC-SLA), we propose one type of MMAC-SLA for a class of nonlinear systems such as cascaded vehicles. By using an input decomposition technique, the corresponding stability proof is solved for the proposed MMAC-SLA, which synthesises the control signals from the weighted multiple models. The control strategy is utilised to challenge the position and speed tracking of high-speed trains with uncertain parameters. The simulation results demonstrate that the proposed MMAC-SLA can achieve small tracking errors with moderate in-train forces incurred under the control of flattening input signals with practical enforceability. This study also provides a new idea for the control of in-train forces by tracking the positions and speeds of cars while considering power constraints.<p />
LA  - en
SN  - 0042-3114
UR  - http://dx.doi.org/10.1080/00423114.2014.887209
ID  - ref1
ER  -