ADAPTIVE-CONTROL OF 4WS SYSTEM BY USING NEURAL-NETWORK

被引:11
作者
SHIOTSUKA, T
NAGAMATSU, A
YOSHIDA, K
机构
[1] Department of Mechanical Engineering, Tokyo Institute of Technology, Meg-, uro-ku, Tokyo, 152, 2-12-1, O-okayama
[2] Department of Mechanical Engineering, Keio University, Kohoku-ku, Yokohama-shi, Kanagawa, 223, 3-14-1, Hiyoshi
关键词
Steering - Vehicle wheels - Adaptive control systems - Computer simulation - Friction;
D O I
10.1080/00423119308969040
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
An adaptive control system of the model following type is proposed for drive motion control of a four wheel steering (4WS) car with using neural network (NN) which has mastered nonlinear friction force between tire and road surface. A model of one rigid body is adopted which represents appropriately two kinds of car motion caused by steering action, namely the lateral displacement and the yawing rotation, and an equation of motion is described in a simplified form to make a system equation for motion control possible. Nonlinear relation between the cornering force of tire and the slip angle is obtained by numerical analysis with the tire model proposed by E. Fiala, taking friction coefficient and car speed as the parameters. The result is used as the teaching signal for NN. Three NN are used in the control system composed of both the feed-forward and the feedback circuits in order to realize adaptive control. Validity and usefulness of the proposed adaptive control system with NN are verified by three kinds of computer simulation.
引用
收藏
页码:411 / 424
页数:14
相关论文
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