01474924

Component

Pantograph-catenary contact force provides the main basis for evaluation of current quality collection; however, the pantograph-catenary contact force is largely affected by the catenary irregularities. To analyze the correlated relationship between catenary irregularities and pantograph-catenary contact force, a method based on NARX (Nonlinear Auto-Regressive with eXogenous input) neural networks was developed. First, to collect the test data of catenary irregularities and contact force, the pantograph/catenary dynamics model was established and dynamic simulation was conducted using MATLAB/Simulink. Second, catenary irregularities were used as the input to NARX neural network and the contact force was determined as output of the NARX neural network, in which the neural network was trained by an improved training mechanism based on the regularization algorithm. Third, the simulation results and the comparison with other algorithms indicate the validity and superiority of the proposed approach.

This paper was sponsored by TRB committee AR020 Passenger Rail Equipment and Systems Integration.

01470560

13-0208

English

14p

2013

Transportation Research Board 92nd Annual Meeting

Digital/other

Figures; References; Tables

Catenaries (Railroads); Contact wire; Neural networks; Pantographs; Simulation

Data and Information Technology; Railroads; I70: Traffic and Transport

Transportation Research Board Annual Meeting 2013 Paper #13-0208

PRP, TRIS, TRB, ATRI

Feb 5 2013 12:11PM