A study on the three parameter shift schedule of AMT vehicle based on dynamic fuzzy neural network

被引：0
|
作者：
Chen, Qinghong [1 ]
Qin, Datong [1 ]
Ye, Xin [1 ]
机构：
[1] State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
来源：
Qiche Gongcheng/Automotive Engineering | 2010年 / 32卷 / 06期
关键词：
Parameter estimation - Internet protocols - Controllers - Fuzzy inference;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The dynamic fuzzy neural network-based control principle of three parameter shifting and the training algorithm for its controller are presented. The controller is used in ChangAn Lingyang AMT car to conduct the simulation and test on neural network-based three parameter shifting control, and their results are then compared with two parameter shifting. The results show that compared with two parameter shifting, three parameter shifting based on dynamic fuzzy neural network accords better with shifting experiences and habits of drivers with smooth change of gear shifting surface, and its algorithm for finding shifting schedule is simpler and easy to implement with stronger robustness.
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页码：505 / 509
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