基于神经网络控制的自动变速器换档系统  

The shift system of automated mechanical transmission based on neural network control

作　　者：周克良[1] 曾璐[1] 曾婕[1] 王瑞祥[1] 

机构地区：[1]江西理工大学,江西赣州341000

出　　处：《电子技术应用》2007年第8期37-40,共4页Application of Electronic Technique

摘　　要：讨论了AMT最佳换档规律,利用神经网络对己有数据进行了训练仿真,表明RBF网络辨别方法可以解决档位识别问题,并且给出了神经网络换档控制策略。The paper discusses optimizing shift regularity of AMT and training simulation of data is completed by Neural network. It indicated that distinguish measure of RBF neural network can solve the problem of shift recoguition, and offer the shift control strategy of neural network.

关 键 词：自动变速器 神经网络 最佳换档 离合器接合 

分 类 号：U469.2[机械工程—车辆工程]