卡尔曼滤波器
库苏姆
计算机科学
打滑(空气动力学)
路面
扩展卡尔曼滤波器
可靠性(半导体)
算法
工程类
模拟
结构工程
数学
统计
人工智能
土木工程
物理
航空航天工程
功率(物理)
量子力学
出处
期刊:Journal of Jilin University
日期:2011-01-01
被引量:2
摘要
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.
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