Research on the Speed Control of Automatic Train Operation System Based on the Novel PSO-B-BP-PID Controller
By studying the control algorithms of automatic train operation system,the PSO-B-BP-PID controller based on reparametric B-Spline Neural Networks and PSO is proposed.The controller can find more suitable factor by PSO,thereby, it can receive the best reparametric B-Spline basic functions fit for searching weights of the network,at the same time, by replacing the conventional backward-propagation(BP)algorithm with PSO in the paper,it can overcome the shortcomings of easily going into local optimum.By comparing the control performance of PSO-B-BP-PID,B-BP-PID and PSO-BP-PID in experiment,the results indicate the PSO-B-BP-PID can improves punctuality,comfort and stop precision in ATO system.
Hao Zhang, Yang Fu and Zhong Tang
L. H. Fu "Research on the Speed Control of Automatic Train Operation System Based on the Novel PSO-B-BP-PID Controller", Advanced Materials Research, Vols. 354-355, pp. 906-912, 2012