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CP-DGPS based combine harvester control without orientation sensor

机译:基于CP-DGPS的联合收割机控制,无方向传感器

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Mobile robot control is a classic problem in the roboticrncornrnunity. It is particularly true in the agricultural fieldrnwhere repetitive tasks can be handled using AGV.rnIn this paper, we address the problem of combinernharvester control using a single CP-DGPS receiver, withoutrnany attitude measurement unit. A non linear, velocityrnindependent control law has been designed. It relies uponrnthe kinematic model of the combine harvester.rn‘llvo approaches aimed at estimating the heading of thernfarm vehicle have been investigated. One uses GPSrnvelocity measurements: the kinematic model of thernharvester imposes that its linear velocity is directed alongrnthe vehicle axle. So the heading of the vehicle canrnbe roughly estimated from raw velocity measurements.rnThe other relies upon a Kalman state reconstructor andrnproduces an indirect measurement of the heading. Thernreconstructor has been designed thanks to the kinematicrnmodel of the harvester, and taking into account for thernsensor noise.rnThe control law has been implemented on a combinernharvester. Experiments have been carried out using bothrnkinds of heading estimations on an almost flat ground. Thernstandard deviation from the mean of the lateral positionrnis about three centimeters, and the bias smaller thanrnfive centimeters. Both methods are compared an somernconclusions are drawn.
机译:移动机器人控制是机器人技术中的经典问题。在农业领域尤其如此,可以使用AGV处理重复性任务。本文中,我们解决了使用单个CP-DGPS接收器而无需任何姿态测量单元的联合收割机控制的问题。设计了一个非线性的,与速度无关的控制律。它基于联合收割机的运动学模型。已经研究了旨在估算农用车辆行进方向的llvo方法。一种使用GPS速度测量:收割机的运动模型强加其线速度沿车轴定向。因此,可以从原始速度测量值粗略估计车辆的行驶方向。另一个依赖于卡尔曼状态重建器,并间接地测量出行驶方向。借助收割机的运动学模型设计了重构器,并考虑了传感器噪声。控制律已在联合收割机上实现。已经在几乎平坦的地面上使用两种航向估计进行了实验。与侧向位置的平均值的标准偏差约为3厘米,偏差小于5厘米。比较了两种方法,得出了一些结论。

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