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  HomeContents of Chinese Journal of Mechanical Engineering 2001 No.1INVESTIGATION ON AMT VEHICLE CRUISE CONTROL USING SELF-LEARNING FUZZY NEURAL NETWORKS

INVESTIGATION ON AMT VEHICLE CRUISE CONTROL

USING SELF-LEARNING FUZZY NEURAL NETWORKS


Li Jun  Zhang Jianwu

(Shanghai Jiaotong University)

Feng Jinzhi

(University of Shanghai for Science and Technology)

Lei Yulong  Ge Anlin

(Jilin University of Technology)

 

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
CLC No: U463
国家“九五”科技攻关基金资助项目. Received 19991225, received in revised form 20000821

 

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