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Study on Geometric Path Tracking Algorithm for Tracked Vehicle Model

机译:履带车辆模型的几何路径跟踪算法研究

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This paper proposes a geometric path tracking algorithm for miningrnrobot. In Korea, the pilot mining robot has been developed forrncollecting manganese nodules from deep seabed. The pilot miningrnrobot demands a localization algorithm to determine an accuraternposition and an automatic path tracking algorithm. The fundamentalrnperformances of two algorithms are verified by using a ground trackedrnvehicle to reduce the time and cost for in-situ test. Ultrasonic positionrnsystem (UPS) is selected to measure the position. UPS is very similarrnwith the measuring principle of LBL. The localization is realized byrndata-fusion of UPS (data period of 0.6sec) and motor encoder (datarnperiod of 0.1sec). It focuses on how to decide weighting values of twornposition data having different periods in order to produce betterrnposition information. For tracking the specified path, two algorithms,rnthe follow-the-carrot and the pure pursuit, are comparativelyrninvestigated. The follow-the-carrot algorithm finds a line passingrnbetween the center point of vehicle and the target point, and controlsrnthe vehicle to follow the line with constant speed. The pure pursuitrnalgorithm is that vehicle is controlled through radius of a circlerncontacting with forward vector of the vehicle and passing between therncenter point of vehicle and the target point. The appropriate algorithmrnfor driving on soft-soil can be selected and proven by numericalrnsimulation and experiment.
机译:提出了一种采矿机器人的几何路径跟踪算法。在韩国,研制了一种试验性采矿机器人,用于从深海底收集锰结核。飞行员采矿机器人需要一种定位算法来确定准确的位置和一种自动的路径跟踪算法。通过使用地面履带车辆以减少现场测试的时间和成本,验证了两种算法的基本性能。选择超声波位置系统(UPS)来测量位置。 UPS与LBL的测量原理非常相似。定位是通过UPS的数据融合(数据周期为0.6秒)和电机编码器(数据周期为0.1秒)实现的。它着重于如何确定具有不同周期的双重位置数据的加权值以产生更好的位置信息。为了跟踪指定的路径,比较研究了“跟随胡萝卜”和“单纯追赶”两种算法。跟随胡萝卜算法找到一条在车辆中心点和目标点之间通过的线,并控制车辆以恒定速度跟随该线。纯追逐算法是通过与车辆的前向矢量接触并在车辆的中心点与目标点之间经过的圆的半径来控制车辆。可以通过数值模拟和实验选择合适的算法进行软土驱动。

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