首页|基于人工磁场的防疫机器人路径规划

基于人工磁场的防疫机器人路径规划

Epidemic prevention robot path planning based on artificial magnetic fields

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针对传统人工势场法在防疫机器人路径规划过程中容易陷入局部极小值和目标不可达的问题,提出一种基于人工磁场的路径规划算法.首先,对障碍物周围建立人工磁场,引入洛伦兹力,洛伦兹力与引力保持垂直,避免机器人陷入局部极小值点;其次,在洛伦兹力函数中引入机器人与目标点的距离影响因子,解决目标不可达问题;再次,通过建立目标点与障碍物之间的虚拟直线优化洛伦兹力的方向,避免迂回路径,减少路径规划的步数.最后,在MATLAB环境下对传统人工势场法和人工磁场法进行了仿真实验,实验结果表明,人工磁场法可以克服局部极小值和目标不可达问题,规划的路径对障碍物进行了避障,避免了徘徊振荡的情况出现,提高了路径规划的质量.
In order to solve the problems of local minimum and unreachable target in traditional artificial potential field method,an artificial magnetic field method is proposed.Firstly,an artificial magnetic field is established around the obstacle,and the Lorentz force is introduced.The Lorentz force is perpendicular to gravity,so as to avoid the robot falling into the local minimum point;Secondly,the distance factor between the robot and the target point is introduced into the Lorentz force function to solve the problem of target inaccessibility;Thirdly,the direction of Lorentz force is optimized by establishing a virtual line between the target point and the obstacle,avoiding detours and reducing the number of steps of path planning.Finally,the traditional artificial potential field method and artificial magnetic field method are simulated in the MATLAB environment.The experimental results show that the artificial magnetic field method can overcome the local minimum problem and the target unreachable problem,and the planned path effectively avoids obstacles,preventing situations of oscillation and hesitation,thus improving the quality of path planning.

artificial magnetic fieldpath planninglocal minimumvirtual line

伍锡如、龚璞

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桂林电子科技大学电子工程与自动化学院 桂林 541004

人工磁场 路径规划 局部极小值 虚拟直线

国家自然科学基金地区科学基金广西自然科学基金重点项目广西高校人工智能与信息处理重点实验室开放基金重点项目广西研究生教育创新计划项目桂林电子科技大学研究生教育创新计划项目

622630052020GXNSFDA2380292022GXZDSY004YCSW20232982023YCXS124

2024

电子测量技术
北京无线电技术研究所

电子测量技术

CSTPCD北大核心
影响因子:1.166
ISSN:1002-7300
年,卷(期):2024.47(3)
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