卡尔曼滤波器
控制理论(社会学)
扩展卡尔曼滤波器
车辆动力学
计算机科学
快速卡尔曼滤波
α-β滤光片
不变扩展卡尔曼滤波器
无味变换
理论(学习稳定性)
控制工程
移动视界估计
工程类
控制(管理)
人工智能
汽车工程
机器学习
作者
Mark Wielitzka,Matthias Dagen,Tobias Ortmaier
标识
DOI:10.1109/cdc.2014.7040172
摘要
In order to improve vehicle's active safety systems accurate knowledge about the vehicle's driving stability is necessary. Especially the exact determination of the side-slip angle can be of great importance, since it has major potential for improving current control algorithms. Therefore, a model-based methodology for online estimation of vehicle's lateral dynamics is presented, while generalizations of the Kalman Filter algorithm, the Extended and Unscented Kalman Filters are used due to the highly non-linear model behavior. The results of the introduced methodologies are presented for two different driving maneuvers and validated comparing to measurements taken with a VW Golf GTI. Furthermore, a qualitative comparison between Extended and Unscented Kalman Filter is realized.
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