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基于改进RRT的变电站巡检机器人全局路径规划算法

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针对传统RRT算法在变电站巡检机器人全局路径规划应用上搜索速度慢、随机性高、未考虑机器人体积及高压安全距离、路径冗余不平滑等缺点,提出了一种改进的RRT算法.首先,提出了一种动态采样域的采样方式,避免随机树在已扩展区域重复生长;其次,考虑到实际使用中机器人的宽度和带电安全距离,对障碍范围进行膨胀,确保搜索的路径不经过机器人无法通行的狭窄通道或带电区域;最后,对搜索出的路径进行剪枝以及基于B样条曲线的平滑,优化最终路径.结果表明,改进后的算法能有效提高路径搜索的效率并得出较优路径.
Global Path Planning Algorithm for Substation Patrol Robots Based on Modified RRT
A modified RRT algorithm for global path planning was proposed to address the drawbacks of slow search speed,high randomness,lack of consideration and high-voltage safety distance,path redundancy and short of smoothness in the traditional RRT algorithm applied in substation patrol robots.Firstly,a dynamic sampling domain sampling method was proposed to avoid the repeat expansion in explored areas.Then considering the volume of the robots and safety margin for living working in practical usage,the obstacle border was expanded to ensure there were no narrow passages or electrically hazardous area which the robots can not pass through in the searched path.Finally,a pruning method and smoothing method based on B-splines were applied to optimized the path further.The results indicate that the modified algorithm can enhance the efficiency of the path-searching progress successfully.

substation patrol robotrapidly-exploring random treepath planningdynamic sampling domain

杨恩睿、王志强、孙晓

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国网泰州供电公司,江苏泰州 225300

变电站巡检机器人 快速扩展随机树 路径规划 动态采样域

2024

自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
年,卷(期):2024.65(7)
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