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考虑障碍环境下的多机器人编队控制研究
引用本文:何锦璇.考虑障碍环境下的多机器人编队控制研究[J].计算机技术与发展,2013(11):30-33.
作者姓名:何锦璇
作者单位:南京邮电大学,江苏南京210003
基金项目:教育部高等学校博士点基金项目(20103223110003)
摘    要:编队和避障控制是机器人路径规划设计中的典型问题,文中提出了将leader—following法和人工势场法相结合的方法,来更好地完成多机器人在未知环境下的编队和避障控制。之前的研究只将leader—following算法用于多机器人的编队控制,而文中提出此方法也可以用于多机器人系统的避障控制。基于leader—following法,多机器人能自动编队并保持队形;而结合人工势场法,多机器人可以保持队形行进,在遇到障碍物的情况下变换队形避障,在避障后恢复原队形,最终到达目标。通过仿真实验证明,该算法实现了多机器人在未知环境下的自动编队和避障,从而证明了leader—following算法可以用于机器人的避障控制。

关 键 词:编队  避障  leader-following  人工势场

Research on Formation and Control of Multi-robot in Obstacle Environment
HE Jin-xuan.Research on Formation and Control of Multi-robot in Obstacle Environment[J].Computer Technology and Development,2013(11):30-33.
Authors:HE Jin-xuan
Affiliation:HE Jin-xuan (Nanjing University of Posts and Telecommunications ,Nanjing 210003, China)
Abstract:Formation and obstacle avoidance control is a typical problem in the design of path planning of robots. Combining the leader- following method with the artificial potential field method, realize the formation and obstacle avoidance control of multiple mobile robots in an unknown environment. In the previous study, the leader-following method is used only for multiple robots formation control ,but this method presented can also be used for obstacle avoidance control of multiple robots system. Through leader-following method,multi -robot system can automatically formation and keep the formation;with the artificial potential field method, multi-robot system can avoid obstacles and keep formation in the unknown environment. The simulation results show that the proposed method is effective.
Keywords:formation  obstacle avoidance  leader-following  artificial potential field
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