底盘
递归最小平方滤波器
观察员(物理)
基础(线性代数)
加速度
控制理论(社会学)
计算机科学
惯性参考系
最小二乘函数近似
估计
工程类
模拟
控制(管理)
算法
数学
人工智能
统计
结构工程
经典力学
自适应滤波器
量子力学
物理
估计员
系统工程
几何学
作者
Kyutae Han,I.-K. Kim,Hee Young Jo,Kunsoo Huh
标识
DOI:10.1243/09544070jauto991
摘要
As active chassis controllers are becoming increasingly complex and sophisticated, the performance of these controllers is very sensitive to a vehicle's inertial parameters such as the vehicle mass and mass centre height. Also, these parameters vary with the number of passengers and with different load situations. In this paper, in order to determine the vehicle mass during arbitrary vehicle manoeuvring, an online estimation system is proposed considering available driving conditions, which includes two estimation algorithms. One is designed on the basis of the vehicle's longitudinal motion using the recursive least-squares method with the disturbance observer technique. The other is designed on the basis of the vehicle's lateral motion by estimating the lateral velocity. Then, two estimation algorithms are combined to extract the vehicle mass information using the recursive least-squares method. The performance of the proposed estimation system is demonstrated through experimental tests.
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