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汽车行驶状态参数估计研究进展与展望 被引量:36

State and parameter estimation for running vehicle:recent developments and perspective
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摘要 准确而实时地获得汽车的行驶状态参数信息是实现汽车主动安全控制的关键问题,也是车载故障诊断的重要技术之一.随着估计理论的发展,利用车辆上已装备的传感器获得汽车行驶状态信息,进行汽车行驶状态参数估计是近年来的研究热点.本文首先给出汽车系统中需要进行估计的状态参数的分类及现有估计方案:然后对现有的各种汽车行驶状态参数估计方法加以综述,并分析了各种方法在汽车行驶状态参数估计方面的优缺点;最后对汽车行驶状态参数估计的进一步研究提出几点展望. In the active safety control and fault diagnosis for a running vehicle, it is critical to accurately estimate its operation state and parameter information in real-time from the equipped sensors. We list the required states and parameters of a running vehicle and review the exiting schemes for their estimation. Some of the schemes are investigated on their advantages and disadvantages. Some perspective researches in this respect are pointed out.
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2013年第6期661-672,共12页 Control Theory & Applications
基金 国家"973"课题资助项目(2012CB821202) 教育部创新团队资助项目(IRT1017) 国家"863"计划资助项目(2012AA11071) 吉林大学基本科研业务费资助项目 吉林大学汽车仿真与控制国家重点实验室开放基金重点项目
关键词 状态参数估计 车速估计 扩展卡尔曼滤波 估计方案 滚动时域估计 states and parameters estimation vehicle velocity estimation extended Kalman filter estimation schemes moving horizon estimation
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