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Path Planning Based on Dimension Reduction and Region Clipping for Aircraft Fuel Tank Inspection Robot

机译:基于降维和区域裁剪的飞机油箱检查机器人路径规划

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摘要

A continuum robot for inspecting aircraft fuel tank is designed to improve the performance of manual maintenance. Path planning for this kind of robot is challenging due to their complex kinematics models. In an environment without obstacles, a strategy of path planning is proposed in this paper. Dimension reduction method is presented and an imaginary straight line between the starting point and the target is made up as a reference line to simplify the problem. A novel search method based on region clipping deduced from continuity analysis of position function is proposed to decrease computing time complexity. Minimum distance summation (MDS) is calculated to decide the optimal path relatively. Simulation results and analysis demonstrate excellent performance of region clipping search method and feasibility of path planning.
机译:设计用于检查飞机油箱的连续机器人,以提高手动维护的性能。由于其复杂的运动学模型,这种机器人的路径规划具有挑战性。在无障碍环境下,提出了一种路径规划策略。提出了降维方法,并在起点和目标之间建立了一条假想的直线作为参考线,以简化该问题。提出了一种新的基于位置函数连续性分析的区域裁剪搜索方法,以减少计算时间。计算最小距离总和(MDS)以相对地确定最佳路径。仿真结果和分析证明了区域裁剪搜索方法的优越性能和路径规划的可行性。

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