基于虚拟试验的路面附着系数估计  

Estimation of road pavement adhesion factor based on virtual experiment

作　　者：赵又群[1] 林棻[1] 

机构地区：[1]南京航空航天大学车辆工程系,南京210016

出　　处：《吉林大学学报（工学版）》2011年第2期309-315,共7页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(10902049;11072106);'863'国家高技术研究发展计划项目(2008AA11A140);南航引进人才科研基金项目(S0915-022)

摘　　要：将滑模观测器和卡尔曼滤波器相结合对汽车轮胎纵向力进行了估计,在此基础上采用带遗忘因子的递推最小二乘算法和CUSUM变化检测算法对路面附着系数进行了估计。通过在ADAMS/Car中的路面编辑器构造具有不同附着系数的路面测试环境,不仅验证了提出的方法对不同附着条件下的路面进行附着系数估计的可靠性和有效性,而且还表明slip-slope理论在ADAMS/Car的虚拟试验中同样可以再现。The longitudinal forces of the vehicle tire were estimated by the sliding-mode observer combined with the Kalman filter.Based on this the adhesion factor of the road parement was estimated by the recursive least square algorithm with forgetting factor and the change detection algorithm CUSUM.A test environment for the road with different adhesion factors was constructed using the compiler Road Builder in ADAMS/Car,and the proposed road adhesion factor estimation method was tested in the constructed virtual environment.The results proved the reliability and effectiveness of the proposed method and illustrated the theory of slip-slope can reappear in the virtual experiment based on the ADAMSj/Car.

关 键 词：车辆工程 附着系数 轮胎纵向力 滑模观测器 递推最小二乘法 虚拟试验 

分 类 号：U461.6[机械工程—车辆工程]