基于模糊规则递推的车辆自动换挡策略仿真研究  

Fuzzy Recursive Algorithm-Based Research on Vehicle Shifting Strategy

作　　者：李平康[1] 金涛涛[1] 李蓓[1] 

机构地区：[1]北京交通大学机械与电子控制工程学院,北京100044

出　　处：《北京交通大学学报》2008年第1期88-92,共5页JOURNAL OF BEIJING JIAOTONG UNIVERSITY

基　　金：车辆传动国家重点实验室基金资助项目(9140C3403010603)

摘　　要：基于模糊规则递推调整算法的车辆自动换挡控制策略,建立了履带车辆模糊换挡控制器模型,以Matlab/Simulink中典型的车辆模型作为仿真环境,与二参数换挡规律进行分析比较.结果表明,该模糊换挡策略能有效的提高履带车辆自动换挡过程中的加速性及动力性.A model of Fuzzy shifting controller for vehicle was built based on the fuzzy recursive rule base adjustment algorithm. By using the typical vehicle model in Matlab/Simulink, a comparison was made between the classical two-parameter rule and the fuzzy strategy. The results turn out that this fuzzy recursive algorithm can be more efficiently in improving the acceleration and the dynamic performance of the vehicle.

关 键 词：自动换挡策略 模糊逻辑控制器 规则递推调整算法 MATLAB/SIMULINK 

分 类 号：U469.72[机械工程—车辆工程]