| 基于信息融合技术的汽车状态估计算法 |
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| 引用本文： | 宗长富,郑宏宇,徐颖,刘磊. 基于信息融合技术的汽车状态估计算法[J]. 吉林大学学报(工学版), 2008, 0(Z2) |
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| 作者姓名： | 宗长富 郑宏宇 徐颖 刘磊 |
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| 作者单位： | 吉林大学汽车动态模拟国家重点实验室;吉林大学计算机科学与技术学院; |
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| 基金项目： | 国家自然科学基金项目(50775096);;吉林省科技厅自然科学基金项目(20010576)． |
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| 摘 要： | 以信息融合技术为基础,根据状态估计理论,对汽车的纵向速度、横摆角速度和质心侧偏角进行了估计。仿真计算与场地实验结果对比表明,应用该方法可以有效地解决汽车纵向速度、横摆角过度和质心侧偏角的测量问题。
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| 关 键 词： | 车辆工程 信息融合 状态估计 扩展卡尔曼滤波 |
Study in vehicle state estimation based on the information fusion algorithm |
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| ZONG Chang-fu ZHENG Hong-yu XU Ying LIU Lei. Study in vehicle state estimation based on the information fusion algorithm[J]. Journal of Jilin University:Eng and Technol Ed, 2008, 0(Z2) |
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| Authors: | ZONG Chang-fu ZHENG Hong-yu XU Ying LIU Lei |
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| Affiliation: | 1;2;1.State Key Laboratory of Automobile Dynamic Simulation;J ilin University;Changchun 130022;China;2.College of Computer Science and Technology;Jilin University;Changchun 130012;China |
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| Abstract: | According to a state estimation technology based on the information fusion algorithm,the longitudinal rate,yaw rate and side slip angle were estimated.The results of simulation and field test show that the proposed algorithm is effective for the estimation of the longitudinal rate,yaw rate and side slip angle. |
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| Keywords: | vehicle engineering information fusion state estimation extended kalman filtering |
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