Paper Title:
Design of Vehicle’s Controlling System Used a 4WS Control Method Based on BP Neural Network
  Abstract

In this paper, a 4WS control method based on BP neural network was introduced. It used the BP neural network to simulate the map of vehicle and the nonlinear dynamic characteristics of the tire to avoid large errors that relying on mathematical simulation model of the problem. The 4WS measured data of Tokyo institute of Technology institute of Japan was used and used BP neural network method to identify the nonlinear characteristics of vehicle and tires. System controller’s design is not based on any theoretical method, but on the BP neural network’s self-learning ability. Experimental results show that this method has good controlling characteristics, and it can improve the vehicle’s active safety and manipulating stability effectively.

  Info
Periodical
Advanced Materials Research (Volumes 201-203)
Edited by
Daoguo Yang, Tianlong Gu, Huaiying Zhou, Jianmin Zeng and Zhengyi Jiang
Pages
276-280
DOI
10.4028/www.scientific.net/AMR.201-203.276
Citation
Y. P. Liu, Y. Tang, J. B. Bi, "Design of Vehicle’s Controlling System Used a 4WS Control Method Based on BP Neural Network", Advanced Materials Research, Vols. 201-203, pp. 276-280, 2011
Online since
February 2011
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Price
$35.00
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