Study of the Engineering Vehicles of Automatic Transmission Shift Schedule Based on Fuzzy Neural Network

摘要：

　　By combining the powerful self-learning ability of the neural network and the characteristic that the fuzzy control is designed based on the strategical rules of knowledge and language,this paper put forward the strategy of engineering vehicles automatic transmission shift.According to a large number of experimental data,as well as the drivers experience and the expertsprofession,this paper put forward the strategy of engineering vehicles automatic transmission shift.The neural network model is set up based on Takagi-Sugeno and the factual cases are used to train and exam by MATLB,the simulation result showed that this method is feasible and meet the shift requirement,as it can accelerate effectively the establishment of the rules and reduce the set up time.The shift schedule can reflect precisely the actual out put target gear and meet the shift requirement.

关键词： Engineering vehicles Shift schedule Fuzzy neural network

作者: Yong jing Huang Jin Yao Jia Hua Han Di Wu

作者单位: College of Manufacturing Science and Engineering,Sichuan University,Chengdu 610065,China;Department College of Manufacturing Science and Engineering,Sichuan University,Chengdu 610065,China

会议类型: 国际会议

会议名称: the 2012 International Conference on Manufacturing Engineering and Automation (2012年制造工程与自动化国际会议(ICMEA2012))

会议地点: 广州

会议语种:英文

页码: 1720-1723

在线出版日期: 2012-11-16（万方平台首次上网日期，不代表论文的发表时间）