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A Fuzzy Path Preview Algorithm for the Rice Transplanting Robot Navigation System

机译:水稻插秧机器人导航系统的模糊路径预览算法

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Path preview is the key to realizing automatic navigation control that can guide the navigational direction of the vehicle trace. The preview point must be regulated dynamically according to the predetermined navigational features of the actual path preview control to obtain the ideal path trace result. Based on the “preview follower theory” combined with the driver’s experience and utilizing the Matlab (The MathWorks, Inc., Natick, Massachusetts, USA) fuzzy control toolbox, a fuzzy algorithm of the preview point has been proposed in the paper. The navigation control system embedded in the path planning and preview control algorithm has been applied in the experiment to trace a predetermined navigational straight way, 90°curve and arc way to operate a rice transplanting robot. The results showed that the lateral DRMS (distance root mean square error) of the straight trace is approximately 0.33 m, and the maximum error is approximately 0.71 m; the lateral DRMS of the 90°curve trace is approximately 0.73 m, and the maximum error is approximately 1.85 m; the lateral DRMS of the arc way trace is approximately 1.03 m, and the maximum error is approximately 2.56 m; and the total mean error is approximately 0.6 m. According to the outcome of the experiment, the relevant algorithm can basically meet the requirements of rice transplanting robot guidance.
机译:路径预览是实现自动导航控制的关键,该自动导航控制可以指导车辆轨迹的导航方向。必须根据实际路径预览控件的预定导航功能动态调整预览点,以获得理想的路径跟踪结果。基于“预览跟随者理论”,结合驾驶员的经验,并利用Matlab(美国马萨诸塞州纳蒂克的MathWorks公司)的模糊控制工具箱,提出了预览点的模糊算法。实验中采用了嵌入路径规划和预览控制算法的导航控制系统,以跟踪预定的导航直线,90°曲线和弧线方式来操作水稻插秧机器人。结果表明,直线轨迹的横向DRMS(距离均方根误差)约为0.33 m,最大误差约为0.71 m。 90°曲线的横向DRMS约为0.73 m,最大误差约为1.85 m。弧形轨迹的横向DRMS约为1.03 m,最大误差约为2.56 m。总平均误差约为0.6 m。根据实验结果,相关算法基本可以满足水稻插秧机器人指导的要求。

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