首页> 外文期刊>ACM transactions on autonomous and adaptive systems >Distributed Multirobot Formation and Tracking Control in Cluttered Environments
【24h】

Distributed Multirobot Formation and Tracking Control in Cluttered Environments

机译:杂乱环境中的分布式多机器人编队和跟踪控制

获取原文
获取原文并翻译 | 示例
           

摘要

In this article, we propose formation control of nonholonomic mobile robots avoiding obstacles in a distributed manner for cluttered environments. The introduction of a virtual robot restructures the formation control problem into a tracking control problem between the virtual reference robot and follower robots. A novel obstacle avoidance approach is proposed based upon the scaling of whole (partial) formation corresponding to a centralized (distributed) framework. For the distributed environment with limited communication, our approach utilized proportional-integral average consensus estimators, whereby information from each robot diffuses through the communication network. The theoretical contribution is to determine the time constant involved in the diffusion process, which can affect overall system performance. The asymptotic convergence of follower robots to the position and orientation of the reference robot is ensured using the Lyapunov function. The new technique is tested with complete, limited, and no information availability. Several simulation results are provided that demonstrate the formation control and obstacle avoidance for multirobots using the proposed scheme.
机译:在本文中,我们提出了非完整移动机器人的编队控制,以在混乱的环境中以分布式方式避开障碍物。虚拟机器人的引入将编队控制问题重组为虚拟参考机器人和跟随者机器人之间的跟踪控制问题。基于与集中式(分布式)框架相对应的整体(部分)构造的缩放比例,提出了一种新颖的避障方法。对于通信受限的分布式环境,我们的方法使用了比例积分平均共识估计量,从而每个机器人的信息都通过通信网络传播。理论上的贡献是确定扩散过程中涉及的时间常数,这会影响整个系统的性能。使用李雅普诺夫(Lyapunov)功能可确保从动机器人渐渐收敛到参考机器人的位置和方向。该新技术已经过完整,有限且无信息可用性的测试。提供了几个仿真结果,这些仿真结果证明了使用所提出的方案的多机器人编队控制和避障。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号