Robust Vehicle Mass and Driving Resistance Estimation

被引：0
|
作者：
Altmannshofer, Simon [1 ]
Endisch, Christian [1 ]
机构：
[1] Tech Hsch Ingolstadt, Res Grp Elect Mobil & Learning Syst ELS, D-84950 Ingolstadt, Germany
来源：
2016 AMERICAN CONTROL CONFERENCE (ACC) | 2016年
关键词：
RECURSIVE LEAST-SQUARES;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A robust parameter estimation algorithm for vehicle mass and driving resistance is presented. The estimation scheme uses a vehicle longitudinal model and common vehicle sensor signals. In contrast to other driving resistance estimators the proposed robust formulation copes with typical real-world problems encountered in vehicle parameter estimation like measurement outliers and insufficient excitation in the input signals. The robust estimator shows good performance compared to existing estimators on real-world data with difficult characteristics.
引用
收藏
页码：6869 / 6874
页数：6
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