Simulation Research on Vehicle Handling Inverse Dynamics Based on Radial Basis Function Neural Networks

被引：1
|
作者：
Yu Rui [1 ]
机构：
[1] Changzhou Inst Engn Technol, Changzhou 213164, Jiangsu, Peoples R China
来源：
GREEN POWER, MATERIALS AND MANUFACTURING TECHNOLOGY AND APPLICATIONS III, PTS 1 AND 2 | 2014年 / 484-485卷
关键词：
Vehicle Steering Dynamics; Inverse Problem; RBF Neural Networks; Simulation;
D O I：
10.4028/www.scientific.net/AMM.484-485.1093
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Based on a brief review of the developing history of vehicle steering inverse dynamics, and using radial basis function neural network, the nonlinear mapping relation between lateral angular velocity and steering angle input is found. The identification results of step and sine steering angle input show that the proposed identification method is not only practical, but also with high accuracy.
引用
收藏
页码：1093 / 1097
页数：5
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