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Autonomous Navigation of a Center-Articulated and Hydrostatic Transmission Rover using a Modified Pure Pursuit Algorithm in a Cotton Field

机译:在棉田中使用改进的纯追踪算法进行中心铰接式和静液压传动钻口的自主导航

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摘要

This study proposes an algorithm that controls an autonomous, multi-purpose, center-articulated hydrostatic transmission rover to navigate along crop rows. This multi-purpose rover (MPR) is being developed to harvest undefoliated cotton to expand the harvest window to up to 50 days. The rover would harvest cotton in teams by performing several passes as the bolls become ready to harvest. We propose that a small robot could make cotton production more profitable for farmers and more accessible to owners of smaller plots of land who cannot afford large tractors and harvesting equipment. The rover was localized with a low-cost Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS), encoders, and Inertial Measurement Unit (IMU)s for heading. Robot Operating System (ROS)-based software was developed to harness the sensor information, localize the rover, and execute path following controls. To test the localization and modified pure-pursuit path-following controls, first, GNSS waypoints were obtained by manually steering the rover over the rows followed by the rover autonomously driving over the rows. The results showed that the robot achieved a mean absolute error (MAE) of 0.04 m, 0.06 m, and 0.09 m for the first, second and third passes of the experiment, respectively. The robot achieved an MAE of 0.06 m. When turning at the end of the row, the MAE from the RTK-GNSS-generated path was 0.24 m. The turning errors were acceptable for the open field at the end of the row. Errors while driving down the row did damage the plants by moving close to the plants’ stems, and these errors likely would not impede operations designed for the MPR. Therefore, the designed rover and control algorithms are good and can be used for cotton harvesting operations.
机译:本研究提出了一种控制自主,多用途,中心铰接式静水传动搬站的算法,以沿着裁剪行导航。这种多功能流动仪(MPR)正在开发成收获未脱悬的棉花,以将收获窗口扩展到最多50天。车队将通过在棉铃准备收获时进行几次通过,在团队中收获棉花。我们建议一个小型机器人可以使棉花生产对农民更有利可图,并且对不能承担大型拖拉机和收获设备的土地的较小地块的所有者更易于使用。流动站用低成本的实时运动全球导航卫星系统(RTK-GNSS),编码器和惯性测量单元(IMU)S为定位。基于机器人操作系统(ROS)的软件是开发的,以利用传感器信息,本地化流动站,并在控制后执行路径。为了测试本地化和修改的纯粹追踪路径跟踪控制,首先,通过手动转向行驶的流动站,然后在行驶中自动驾驶行驶的流动站来获得GNSS航点。结果表明,对于第一,第二和第三次,实现了机器人的平均绝对误差(MAE)为0.04米,0.06μm,0.09μm。机器人达到了0.06米的MAE。在行末端转动时,来自RTK-GNSS的MAE产生的路径为0.24米。转弯误差是排行末尾的开口的误差。在沿着植物茎线移动时,驱逐行的误差确实损坏了植物,并且这些误差可能不会阻碍为MPR设计的操作。因此,设计的流动站和控制算法很好,可用于棉花采伐操作。

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