Research on Heavy Rail Pre-Bending Vehicle Control Technology Based on Fuzzy Neural Network

Abstract:

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The natural cooling after the rolling of the 100-meter-long rail tends to curve the rail from the bottom to the head. Based on the analysis of the rail pre-bending process, this thesis proposes the implementation plan of the pre-bending vehicle control system. The position loop uses fuzzy neural network regulator and the speed loop uses PB-based neural network PID regulator. Also the thesis gives the corresponding control algorithm. The control equipment uses Siemens advanced SIMATIC PCS7 process control system. Through experimental analysis, the dynamic tracking performance and the static accuracy of the system are guaranteed and the vehicle is accurately placed as expected.

Info:

Periodical:

Advanced Materials Research (Volumes 201-203)

Edited by:

Daoguo Yang, Tianlong Gu, Huaiying Zhou, Jianmin Zeng and Zhengyi Jiang

Pages:

2379-2384

DOI:

10.4028/www.scientific.net/AMR.201-203.2379

Citation:

Z. J. Xu and G. F. Yin, "Research on Heavy Rail Pre-Bending Vehicle Control Technology Based on Fuzzy Neural Network", Advanced Materials Research, Vols. 201-203, pp. 2379-2384, 2011

Online since:

February 2011

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$35.00

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