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复杂环境中煤矿智能机器人巡检路径动态规划
引用本文:闫萍. 复杂环境中煤矿智能机器人巡检路径动态规划[J]. 微型电脑应用, 2022, 0(1): 145-149
作者姓名:闫萍
作者单位:开滦(集团)有限责任公司
摘    要:在复杂开采环境下,煤矿智能机器人往往出现移动路径规划不准确、规划效率低和规划延迟等问题.因此,提出了一种巡检路径的动态规划算法,并对传统的动态窗口算法进行了改进.将智能机器人的移速限制空间转换成二维坐标空间,通过膜间通信及内部粒子更新规则来更新粒子,使机器人以最优速度、最佳路径进行巡检.仿真结果表明,这种算法优化了机器...

关 键 词:煤矿智能机器人  动态路径规划  动态窗口算法  复杂环境  粒子群算法

Dynamic Planning of Inspection Path for Intelligent Robot in Coal Mine in Complex Environment
YAN Ping. Dynamic Planning of Inspection Path for Intelligent Robot in Coal Mine in Complex Environment[J]. Microcomputer Applications, 2022, 0(1): 145-149
Authors:YAN Ping
Affiliation:(Kailuan Group Co. Ltd., Tangshan 063018, China)
Abstract:In the complex mining environment,coal mine intelligent robot often has problems such as inaccurate mobile path planning,low planning efficiency and planning delay.Therefore,this paper proposes a dynamic planning algorithm of inspection path,and improves the traditional dynamic window algorithm.The speed limited space of the intelligent robot is transformed into a two-dimensional coordinate space,and the particles are updated through the inter membrane communication and internal particle update rules,so that the robot can inspect with the optimal speed and path.The simulation results show that the algorithm optimizes the speed limit range of the robot in the process of path planning,and improves the work efficiency of the intelligent robot in coal mine.
Keywords:coal mine intelligent robot  dynamic path planning  DWA  complex environment  particle swarm optimization
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