基于IMU 和UWB 的塑料大棚采摘机器人定位方法研究
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江西省重点研发计划项目(20232BBF60017)


Positioning Method for Picking Robot in Plastic Tunnels Based on IMU and UWB
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    摘要:

    针对农业塑料大棚环境中,地势高程差异和地面凹凸不平导致超宽带(Ultra-wideband,UWB)定位系统定位精度下降,影响采摘机器人导航与精准采摘作业的问题,本文提出了一种基于惯性测量单元(Inertial measurement unit,IMU)和UWB 的实时纠偏定位方法。首先,通过罗德里格斯旋转矩阵和仿射变换修正栅格地图;进而,预处理UWB 定位数据,通过IMU 获取采摘机器人平台从当前姿态变换到水平基准姿态的旋转矩阵,计算由UWB 标签安装位置修正到采摘机器人平台实际位置的横向偏差和纵向偏差,从而对地面环境造成的UWB 定位偏差实时纠偏;最终,实现采摘机器人平台自主导航。试验结果表明,经变换修正的栅格地图,最大绝对误差、最大相对误差和均方根误差分别为0.150 m、2.27% 、0.067 m;基于IMU 和UWB 的塑料大棚实时纠偏定位方法,横向和纵向定位偏差分别小于等于0.065、0.069 m,与UWB 原始定位数据相比,横向定位精度提高26.1% ,纵向定位精度提高13.8% ;应用上述定位方法的采摘机器人平台以速度0.15、0.30、0.45 m/ s 自主导航时,横向导航偏差、纵向导航偏差和航向偏差的平均值分别小于等于0.057 m、0.079 m 和8.211°,标准差分别小于等于0.039 m、0.069 m 和4.307°。

    Abstract:

    In agricultural plastic tunnel environments, the positioning accuracy of ultra-wideband (UWB) positioning systems is compromised due to variations in terrain elevation and ground surface irregularities, thereby affecting the navigation of picking robots and precise picking operations. A realtime correction and positioning method was proposed based on inertial measurement unit ( IMU) and UWB. Firstly, the grid map was corrected by using Rodrigues'rotation matrix and affine transformation. Subsequently, the UWB positioning data was preprocessed. By utilizing the rotation matrix obtained from the IMU that transformed the picking robot platform from its current attitude to the horizontal reference attitude, the lateral and longitudinal deviations from the UWB tag installation position to the actual position of the picking robot platform were calculated, thereby enabling real-time correction of UWB positioning errors caused by ground environmental conditions. Finally, autonomous navigation of the picking robot platform was achieved. The experimental results indicated that the maximum absolute error, maximum relative error, and root mean square error of the transformation-corrected grid map were 0.150 m, 2.27% , and 0.067 m, respectively. The real-time correction and positioning method based on IMU and UWB achieved lateral and longitudinal positioning deviations of less than or equal to 0.065 m and 0.069 m, respectively. Compared with the original UWB positioning data, the lateral positioning accuracy was improved by 26. 1% and the longitudinal positioning accuracy was improved by 13.8% . When the picking robot platform employing the aforementioned positioning method operated at autonomous navigation speeds of 0.15 m/ s, 0.30 m/ s, and 0.45 m/ s, the mean values of the lateral navigation deviation, longitudinal navigation deviation, and heading deviation were less than or equal to 0.057 m, 0.079 m, and 8.211°, respectively, with standard deviations less than or equal to 0.039 m, 0.069 m, and 4.307°, respectively.

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洪志超,黎静,赵洋,伏杰煜,蒋高峰,薛龙.基于IMU 和UWB 的塑料大棚采摘机器人定位方法研究[J].农业机械学报,2026,57(5):105-114,137. HONG Zhichao, LI Jing, ZHAO Yang, FU Jieyu, JIANG Gaofeng, XUE Long. Positioning Method for Picking Robot in Plastic Tunnels Based on IMU and UWB[J]. Transactions of the Chinese Society for Agricultural Machinery,2026,57(5):105-114,137.

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  • 收稿日期:2025-10-26
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  • 在线发布日期: 2026-03-01
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