Paper Title:
Research on the Speed Control of Automatic Train Operation System Based on the Novel PSO-B-BP-PID Controller
  Abstract

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.

  Info
Periodical
Advanced Materials Research (Volumes 354-355)
Chapter
Chapter 6: Power System and Automation
Edited by
Hao Zhang, Yang Fu and Zhong Tang
Pages
906-912
DOI
10.4028/www.scientific.net/AMR.354-355.906
Citation
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
Online since
October 2011
Authors
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Price
$32.00
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