Vehicle side slip angle estimation with stiffness adaptation

被引：3
|
作者：
DaKhlallah J. [1 ]
Glaser S. [1 ]
Mammar S. [2 ]
机构：
[1] INRETS/LCPC - LIVIC Laboratoire sur les Interactions, Véhicule-Infrastructure-Conducteur, Bât 824, 78000, Versailles, 14, Route de la Minière
[2] IBISC: Informatique, Biologie Intégrative et Systèmes Complexes - FRE CNRS 3190, 91020, Evry, Cedex
来源：
International Journal of Vehicle Autonomous Systems | 2010年 / 8卷 / 01期
关键词：
Kalman filtering; Tyre/road; Vehicle modeling;
D O I：
10.1504/IJVAS.2010.034099
中图分类号：
学科分类号：
摘要：
Vehicle loss of control represents a huge part of car accidents. Preventing such kind of accidents needs information on vehicle dynamics and vehicle-road interaction phenomenon. Several parameters that have a major impact on vehicle dynamics are still difficult to measure using vehicle industry technology sensors. Using an appropriate vehicle model and available measurements, the vehicle state vector, which includes the sideslip angle, as well as the road/tyre interaction forces, is reconstructed using an EKF. The estimation results are first compared to measurements collected by an equipped vehicle. The EKF is then implemented in the test vehicle and run in real-time. Copyright © 2010 Inderscience Enterprises Ltd.
引用
收藏
页码：56 / 79
页数：23
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