Modeling and Simulative Analysis of Shifting Schedule for the Automatic Transmission Vehicle
The estimation methods of best shift schedule based on fuzzy neural network was advanced, and the shift schedule model for automatic transmission vehicle based on fuzzy neural network with Takagi-Sugeno model was established. Fuzzy logic rules with two input parameters and membership functions of the shift schedule based on the skilled drivers experience and experts knowledge were established, which were modified through train mechanism of artificial neural network based on test sample. The fuzzy-BangBang control model of engine was established by utilizing difference between the real and target speed and difference changing speed. Shift schedule of automatic transmission vehicle was simulated based on fuzzy neural network and the result indicated that this shift schedule based on fuzzy neural network of Takagi-Sugeno model was established exactly and feasibility.
Vehicle Automatic Transmission Engine Control Shifting Schedule Fuzzy Neural Network
Zhang Shiyi Li Guanghui
School of Maritime,Chongqing Jiaotong University,Chongqing,400074 The State Key Lab of Mechanical Transmission,Chongqing University,Chongqing,400044
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3665-3671
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）