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INDOOR LOCALIZATION SYSTEMATICAL ERRORS ANALYSIS FOR AGVs

机译:AGV的室内定位系统误差分析

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Automated guided vehicles (AGVs) are commonly encountered in modern factories for handling materials. This paper studies and compares performance of dead-reckoning, heading measurement and triangulation as a means of locating AGVs in indoors quasi-structured environments. Because global positioning system (GPS) does not work indoors, these other approaches of locating AGVs are adopted. The main result of this paper stems from the dead-reckoning algorithm with accurate heading measurement condition. If the heading is accurately measured, then the ellipse that quantifies measured position error becomes a line with slope equal to the measured heading. This result makes triangulation more efficient for the position error reset procedure than for the dead-reckoning based almost only in rotary encoders. In this case, only one beacon is sufficient to accurately reset position error when the triangulation procedure is carried out. The triangulation hardware is based on the AGV communications sub-system and its feasibility is shown through an experimental result.
机译:在现代工厂中,自动导引车(AGV)通常用于处理物料。本文研究并比较了死推,航向测量和三角测量的性能,以此作为在室内准结构化环境中定位AGV的方法。由于全球定位系统(GPS)无法在室内工作,因此采用了其他定位AGV的方法。本文的主要结果来自于航向测量条件准确的航迹推算算法。如果正确测量了航向,则量化测量位置误差的椭圆将变为斜率等于测量航向的直线。该结果使三角测量对于位置误差复位过程比几乎仅在旋转编码器中的死角校正更为有效。在这种情况下,执行三角测量过程时,只有一个信标足以准确地重置位置错误。三角测量硬件基于AGV通信子系统,并通过实验结果证明了其可行性。

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