Active Control with Preview to Railway Vehicles Subject to Irregular Tracks.

Abstract

This paper presents an active suspension with preview to railway vehicle systems using the stochastic optimal control. The railway vehicle is modeled as a linear system with three degrees of freedom subject to irregular tracks, which are described by first-order systems with Gaussian white random inputs. The velocities in bounce, roll and pitch modes of the body of the vehicle, and the irregular tracks ahead of the vehicle are in noisy environment measured by using sensors mounted on the body of the vehicle. The state variables of the railway vehicle systems are estimated by using the Kalman filter, and the active control is determined by minimizing the given performance index. The numerical example shows the effectiveness of the proposed active suspension with preview, and the control performance with the preview time as a parameter.