TY  - JOUR
PY  - 2017//
TI  - Second-order sliding mode controller with model reference adaptation for automatic train operation
JO  - Vehicle system dynamics
A1  - Ganesan, M.
A1  - Ezhilarasi, D.
A1  - Benni, Jijo
SP  - 1764
EP  - 1786
VL  - 55
IS  - 11
N2  - In this paper, a new approach to model reference based adaptive second-order sliding mode control together with adaptive state feedback is presented to control the longitudinal dynamic motion of a high speed train for automatic train operation with the objective of minimal jerk travel by the passengers. The nonlinear dynamic model for the longitudinal motion of the train comprises of a locomotive and coach subsystems is constructed using multiple point-mass model by considering the forces acting on the vehicle. An adaptation scheme using Lyapunov criterion is derived to tune the controller gains by considering a linear, stable reference model that ensures the stability of the system in closed loop. The effectiveness of the controller tracking performance is tested under uncertain passenger load, coupler-draft gear parameters, propulsion resistance coefficients variations and environmental disturbances due to side wind and wet rail conditions. The results demonstrate improved tracking performance of the proposed control scheme with a least jerk under maximum parameter uncertainties when compared to constant gain second-order sliding mode control.<p />  <p>Language: en</p>
LA  - en
SN  - 0042-3114
UR  - http://dx.doi.org/10.1080/00423114.2017.1330482
ID  - ref1
ER  -