A Reliable Fusion Methodology for Simultaneous Estimation of Vehicle Sideslip and Yaw Angles
A Reliable Fusion Methodology for Simultaneous Estimation of Vehicle Sideslip and Yaw Angles
复制标题
一种同时估计车辆侧滑和偏航角的可靠融合方法
DOI:
10.1109/tvt.2015.2496969
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发表时间:
2016-06
影响因子:
6.8
通讯作者:
Wang Yu
中科院分区:
文献类型:
--
作者:
Li Xu;Chan Chingyao;Wang Yu
Vehicle sideslip and yaw angles are critical for many vehicle safety systems. Although much research has been presented to obtain them individually, simultaneous accurate estimation of them, based on affordable sensors for land vehicle applications, is seldom reported. This paper proposes a fusion methodology for integrating a single-frequency double-antenna Global Positioning System (DA-GPS) with other low-cost in-vehicle sensors to achieve reliable estimation of both vehicle sideslip and yaw angles. The proposed methodology adopts a hybrid decentralized filtering architecture. First, a vehicle state estimator (VSE) is developed as a virtual sensor to estimate vehicle state information, mainly according to vehicle dynamics. It is composed of two parallel extended Kalman filters (EKFs). Through the interaction of two EKFs, the VSE can adapt to the variations in tire-road friction and accurately estimate the vehicle roll angle. Then, according to vehicle kinematics, a global federated estimator (GFE) is designed, based on the federated filtering algorithm, to achieve the global fusion of inertial sensors, DA-GPS, and VSE. In particular, an adaptive inference mechanism is proposed and introduced into the GFE to adapt to complex driving situations, such as GPS failure, various driving maneuvers, etc. Finally, the proposed method is evaluated via intensive simulations and experiments. The overall results show that the proposed methodology can provide reliable estimation of two angles under a wide range of driving situations.
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DOI:
10.4271/2000-01-0696
发表时间:
2000-03
期刊:
SAE transactions
影响因子:
--
作者:
A. Hać;M. Simpson
通讯作者:
A. Hać;M. Simpson
DOI:
--
发表时间:
2006
期刊:
--
影响因子:
--
作者:
Wu Xun-zhong;Zhou Jun
通讯作者:
Wu Xun-zhong;Zhou Jun
DOI:
10.3390/s91108761
发表时间:
2009
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
作者:
Tuononen AJ
通讯作者:
Tuononen AJ
影响因子:
3.6
作者:
R. Anderson;D. Bevly
通讯作者:
R. Anderson;D. Bevly
DOI:
10.1243/09544070jauto1281
发表时间:
2010-03
期刊:
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
影响因子:
--
作者:
Xu Li;Weigong Zhang
通讯作者:
Xu Li;Weigong Zhang