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基于UWB的智能巡检机器人定位系统研究
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Research on Positioning System of Intelligent Inspection Robot Based on UWB
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    摘要:

    因城市地下管线综合管廊内环境恶劣,巡检距离长,固定式监测设备无法实现全覆盖监控,需要用智能巡检机器人代替传统管廊巡检方式,但是智能巡检机器人能够稳定、有序地运行,关键问题是实现智能巡检机器人的精准定位,即获得巡检机器人在管廊内的精确坐标。目前智能巡检机器人所采用的射频、WiFi、惯性里程计等定位技术易受管廊内环境干扰、累计误差干扰等,定位精度为5~50 m,难以满足管廊智能巡检机器人定位系统1 m以内的定位精度要求。为此,提出一种基于UWB的智能巡检机器人定位系统。采用分析UWB信号在管廊内的传输特性、构建巡检机器人在管廊内的运动模型、通过MATLAB建立巡检机器人定位跟踪仿真实验的手段,设计一种基于UWB管廊修正S-V信道模型的巡检机器人LS-PSO定位算法、一种基于巡检机器人运动模型的EKF跟踪算法,建立了巡检机器人LS-PSO/EKF融合定位跟踪模型。通过与KF算法进行MATLAB定位跟踪仿真对比验证,提出的巡检机器人LS-PSO/EKF融合定位跟踪模型在管廊复杂环境下能够有效去除管廊噪声干扰,定位精度相比KF算法明显提升。

    Abstract:

    Due to the harsh environment in the pipe gallery and the long inspection distance,the fixed monitoring equipment cannot achieve full coverage monitoring,so it is necessary to replace the traditional pipe gallery inspection method with the pipe gallery inspection robot.However,the key that the pipe gallery inspection robot can operate stably and orderly is to achieve precise positioning of the pipe gallery inspection robot,that is,to obtain the precise coordinates of the inspection robot in the pipe gallery.At present,the positioning technology used by the pipe gallery inspection robot,such as radio frequency,WiFi,inertial odometer,is vulnerable to environmental interference and accumulated error interference in the pipe gallery.The positioning accuracy is from 5 m to 50 m,which is difficult to meet the positioning accuracy requirements of the pipe gallery intelligent inspection robot positioning system within 1 m.Therefore,an intelligent positioning system of pipe gallery inspection robot based on UWB (ultra wide band) was proposed.By means of analyzing the transmission characteristics of UWB signals in the pipe gallery,building the motion model of the inspection robot in the pipe gallery,and establishing the positioning and tracking simulation experiment of the inspection robot in MATLAB,a LS-PSO positioning algorithm of the inspection robot based on the modified S-V channel model of the UWB pipe gallery and an EKF tracking algorithm based on the motion model of the inspection robot were designed,and the LS-PSO/EKF fusion positioning and tracking model of the inspection robot was established.Compared with KF algorithm in MATLAB positioning and tracking simulation,the proposed inspection robot LS-PSO/EKF fusion positioning and tracking model can effectively remove pipeline noise interference in complex pipeline environments,and the positioning accuracy is significantly improved compared to KF algorithm.

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常城,舒志兵,陈守林,张之裕.基于UWB的智能巡检机器人定位系统研究[J].机床与液压,2024,52(9):22-29.
CHANG Cheng, SHU Zhibing, CHEN Shoulin, ZHANG Zhiyu. Research on Positioning System of Intelligent Inspection Robot Based on UWB[J]. Machine Tool & Hydraulics,2024,52(9):22-29

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  • 在线发布日期: 2024-05-22
  • 出版日期: 2024-05-15
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