中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Approaches to Estimation of Vehicle Lateral Dynamics

文献类型:会议论文

作者Xu, Zhangwei1; Han, Qing-Long1; Cao, Zhenwei1; Zheng, Jinchuan1; Wong, Yew Wee1; Huang, Ming2
出版日期2019
会议日期August 26-28, 2019
会议地点Kusatsu, Shiga, Japan
关键词vehicle dynamics sliding mode observer learning state estimation
页码130-135
英文摘要In this paper, two new sliding mode state observers are developed for the lateral dynamics of road vehicles. It is shown that the observability of a general class of second-order linear time-varying systems (LTVSs) is investigated, the sliding observers for the LTVSs with both the known-input and the unknown-input are then proposed. The main contribution of this research is to use the learning concept from artificial intelligence for designing the sliding mode observers in the following ways: (i) The observer for the leading sub-system is defined with the finite time error convergence; (ii) The observers for other sub-systems are then independently designed to follow the desired error dynamics of the leading sub-system. Particularly, for the LTVSs with the unknown input, two extended states are added and the same learning strategy is adopted to construct the extended sliding observers, to ensure that both the system states and the unknown inputs can be accurately estimated in finite time. The simulations for the lateral dynamics of a typical road vehicle are conducted to confirm the advantages and effectiveness of the proposed sliding observer algorithms.
产权排序2
会议录Proceedings - 2019 International Conference on Advanced Mechatronic Systems, ICAMechS 2019
会议录出版者IEEE Computer Society
会议录出版地New York
语种英语
ISSN号2325-0682
ISBN号978-1-7281-3480-2
WOS记录号WOS:000591849800024
源URL[http://ir.sia.cn/handle/173321/25808]  
专题沈阳自动化研究所_其他
通讯作者Xu, Zhangwei
作者单位1.Faculty of Science, Engineering and Technology Swinburne University of Technology, Hawthorn, VIC 3122, Australia
2.Chinese Academy of Sciences, Yiwu Branch of Shenyang Institute of Automation, Zhejiang 322000, China
推荐引用方式
GB/T 7714
Xu, Zhangwei,Han, Qing-Long,Cao, Zhenwei,et al. Approaches to Estimation of Vehicle Lateral Dynamics[C]. 见:. Kusatsu, Shiga, Japan. August 26-28, 2019.

入库方式: OAI收割

来源:沈阳自动化研究所

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