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基于位置信息融合的自动引导车路径跟踪研究
引用本文:陈无畏,施文武,王启瑞,王忠臣,黄森仁.基于位置信息融合的自动引导车路径跟踪研究[J].农业机械学报,2003,34(2):69-72.
作者姓名:陈无畏  施文武  王启瑞  王忠臣  黄森仁
作者单位:1. 合肥工业大学机械与汽车学院,230009,合肥市
2. 东南大学自动控制系,210096,南京市
3. 北汽福田汽车股份有限公司,100823,北京市
基金项目:安徽省自然科学基金资助项目 (项目编号 :0 0 0 43 2 3 8)
摘    要:提出一种对自动引导车传感器测得的位置信息进行融合的方法,该方法克服了相对位置估计方法长时间精度低的缺点和绝对位置估计方法误差值偏大的不足,仿真结果表明,应用融合技术后,自动引导车的跟踪误差可限制在较小的范围之内,与不使用融合技术的自动引导车相比,其跟踪效果较好。

关 键 词:自动控制技术  自动引导车  信息融合  路径跟踪  位置估计
修稿时间:2001年11月28

Research on Path Tracing for an Automatic Guided Vehicle Based on Data Fusion Method
Chen Wuwei,Wang Qirui,Huang Senren.Research on Path Tracing for an Automatic Guided Vehicle Based on Data Fusion Method[J].Transactions of the Chinese Society of Agricultural Machinery,2003,34(2):69-72.
Authors:Chen Wuwei  Wang Qirui  Huang Senren
Abstract:An automatic guided vehicle (AGV) must provide various functions such as the perception, the location and the control to understand the environment and react accordingly to the task to be performed. If the environment is barely known, the AGV must have a decisional ability that allow an understanding of the mission and a determination of the appropriate actions to be taken. This paper proposed a method to fuse the information of relative location and absolute location for an AGV, which had satisfactory performance and high measuring precision. The simulation results illustrated that the AGV that using the data fusion method had less error of path following than that without using the method.
Keywords:Automatic control technology  Automatic guided vehicle  Data fusion  Path tracing  Location evaluation
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