• CN:11-2187/TH
  • ISSN:0577-6686

›› 2001, Vol. 37 ›› Issue (1): 63-68.

• 论文 • 上一篇    下一篇

基于自学习模糊神经网络AMT车辆巡航控制

李君;张建武;冯金芝;雷雨龙;葛安林   

  1. 上海交通大学汽车工程研究所;上海理工大学;吉林工业大学
  • 发布日期:2001-01-15

INVESTIGATION ON AMT VEHICLE CRUISE CONTROL USING SELF-LEARNING FUZZY NEURAL NETWORKS

Li Jun;Zhang Jianwu;Feng Jinzhi;Lei Yulong;Ge Anlin   

  1. Shanghai Jiaotong University University of Shanghai for Science and Technology Jilin University of Technology
  • Published:2001-01-15

摘要: 利用模糊神经网络在不能获得精确数学模型的非线性系统中能够达到最优控制的特性,建立了车辆巡航模糊神经网络控制模型,并对其离线训练后应用于装有机械式自动变速器桑塔纳2000型轿车进行巡航控制道路试验,取得满意效果。

关键词: 机械式自动变速器, 模糊模型, 模糊神经网络, 自动巡航控制系统

Abstract: Takes advantage of the Fuzzy-neural-network’s superiority in the non-linear system control to create vehicle cruise fuzzy-neural model and to apply it to the Santana 2000 model car with AMT. The control method is proved to be promising by the cruising test on the highway.

Key words: Automated mechanical transmission, Autonomous cruise control system, Fuzzy model, Fuzzy neural networks

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