基于ADAMS/Car和Simulink的主动悬架遗传模糊控制  

Control of ASS Genetic Algorithms and Fuzzy Based on ADAMS/Car and Simulink

作　　者：郑泉[1] 陈黎卿[1] 王继先[1] 张小龙[1] 

机构地区：[1]安徽农业大学工学院,合肥230036

出　　处：《农业机械学报》2009年第5期7-11,共5页Transactions of the Chinese Society for Agricultural Machinery

基　　金：安徽省教育厅自然科学基金重点项目(KJ2007A061);安徽省科技厅科技攻关重点项目(08020204024);清华大学安全与节能国家重点实验室开放基金资助项目(KF09122)

摘　　要：利用ADAMS/Car软件建立了车辆多体动力学模型;基于遗传算法策略设计了主动悬架模糊控制器并通过Matlab编写了控制算法,基于ADAMS/Car和Matlab/Simulink对主动悬架系统进行联合仿真。通过随机路面输入和脉冲路面输入下的仿真结果分析,表明联合仿真的方法正确、可行,同时通过试验结果分析表明,该控制方法能够有效提高汽车的平顺性能。The paper presents the design process of controller for active suspension employed by vehicle based on the co-simulation. Firstly, a detailed multi-body dynamic model of the vehicle was established by using ADAMS/Car software package. Secondly, a fuzzy controller was designed for active suspension system based on genetic algorithm, then programmed by means of Matlab/Simulink. Finally, the co-simulations were carried out based on ADAMS/Car and Matlab/Simulink. The co-simulation model can simulate vehicle dynamic response with the control of ASS under random road and impulse road condition. Through simulation result analysis, it indicates that the co-simulation method is effective and feasible, and the experimental result indicates control method is applicable, too.

关 键 词：汽车 主动悬架 联合仿真 遗传算法 模糊控制 

分 类 号：U463.33[机械工程—车辆工程]