@article{ref1,
title="Second-order sliding mode controller with model reference adaptation for automatic train operation",
journal="Vehicle system dynamics",
year="2017",
author="Ganesan, M. and Ezhilarasi, D. and Benni, Jijo",
volume="55",
number="11",
pages="1764-1786",
abstract="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>",
language="en",
issn="0042-3114",
doi="10.1080/00423114.2017.1330482",
url="http://dx.doi.org/10.1080/00423114.2017.1330482"
}