Intelligent vehicle lateral controller design based on genetic algorithmand T-S fuzzy-neural network  

作　　者：RuanJiuhong FuMengyin LiYibin 

机构地区：[1]SchoolofInformationandScienceTechnology,BeijingInstituteofTechnology,Beijing100081,P.R.China [2]SchoolofControlScienceandEngineering,ShandongUniversity,Jinan250031,P.R.China

出　　处：《Journal of Systems Engineering and Electronics》2005年第2期382-387,共6页系统工程与电子技术（英文版）

摘　　要：Non-linearity and parameter time-variety are inherent properties of lateral motions of a vehicle. How to effectively control intelligent vehicle (IV) lateral motions is a challenging task. Controller design can be regarded as a process of searching optimal structure from controller structure space and searching optimal parameters from parameter space. Based on this view, an intelligent vehicle lateral motions controller was designed. The controller structure was constructed by T-S fuzzy-neural network (FNN). Its parameters were searched and selected with genetic algorithm (GA). The simulation results indicate that the controller designed has strong robustness, high precision and good ride quality, and it can effectively resolve IV lateral motion non-linearity and time-variant parameters problem.Non-linearity and parameter time-variety are inherent properties of lateral motions of a vehicle. How to effectively control intelligent vehicle (IV) lateral motions is a challenging task. Controller design can be regarded as a process of searching optimal structure from controller structure space and searching optimal parameters from parameter space. Based on this view, an intelligent vehicle lateral motions controller was designed. The controller structure was constructed by T-S fuzzy-neural network (FNN). Its parameters were searched and selected with genetic algorithm (GA). The simulation results indicate that the controller designed has strong robustness, high precision and good ride quality, and it can effectively resolve IV lateral motion non-linearity and time-variant parameters problem.

关 键 词：intelligent vehicle genetic algorithm fuzzy-neural network lateral control robustness. 

分 类 号：U463.6[机械工程—车辆工程] TP18[交通运输工程—载运工具运用工程]