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Research on Vehicle Speed Estimation Algorithm Based on AMESim platform

被引：0
|
作者：
Lian Xi [1 ]
Xie Xiaohua [1 ]
Fankunr, Meng [1 ]
机构：
[1] Jilin Univ, State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R China
来源：
PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2012年
关键词：
vehicle speed; AMESim and matlab Co-Simulation; Adaptive kalman filter;
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：
To get the exact vehicle speed can effectively improve vehicle control performance in the vehicle's safety control system. Depending on the simulation advantage of AMESim, the highly precise vehicle model is built as an experimental model reference model, and then adaptive kalman filter algorithm combining with the AMESim and matlab co-simulation was adopted to realize estimation of vehicle speed. In the AMESim simulation environment the algorithm was verified with the different working conditions. The simulation results show that the estimated effect is good.
引用
收藏
页码：3039 / 3044
页数：6
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