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原文传递 Vehicle Sideslip Angle Estimation based on Fusion Methods
题名: Vehicle Sideslip Angle Estimation based on Fusion Methods
正文语种: 中文
作者: olin GAO Hui CHEN Shugang XIE Jinfeng GONG
作者单位: Tianjin University,Tianjin,300300; hina utomotive Technology & Research enter,Tianjin, hina;School of utomotive Studies,Tongji University,Shanghai 200092, hina School of utomotive Studies,Tongji University,Shanghai 200092, hina hina utomotive Technology & Research enter,Tianjin, hina
关键词: Sideslip Angle Estimation Kinematics Method Dynamics Method Fusion observer Kalman filter
摘要:   In this paper a novel method based on the fusion of kinematics and dynamics methods is proposed to construct a Sideslip Angle Fusion Observer (SAFO).In the SAFO,three local filters output preliminary estimates of lateral velocity to a master filter.The master filter fuses the outputs of all the local filters to calculate a global sideslip angle estimation result according to the information fusion rules.The SAFO has good performance in estimation accuracy and stability in long time running.It is also advanced in robustness of sensor signal bias.The effectiveness of the SAFO is verified by vehicle test data.
会议日期: 20140820
会议举办地点: 保定
会议名称: 2014第十七届汽车安全技术学术会议
出版日期: 2014-08-20
母体文献: 2014第十七届汽车安全技术学术会议论文集
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