Citation

Ganesan M, Ezhilarasi D, Benni J. Veh. Syst. Dyn. 2017; 55(11): 1764-1786.

Copyright

(Copyright © 2017, Informa - Taylor and Francis Group)

DOI

10.1080/00423114.2017.1330482

PMID

unavailable

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.

Language: en

Keywords

adaptive model reference second-order sliding mode controller; High speed train; longitudinal dynamic motion; super twisting control