期刊文献+

复杂水域中的无人艇群分散式控制

Decentralized Control of Swarms of Unmanned Surface Vehicles in Complex Waters
下载PDF
导出
摘要 论文采用分散式结构,建立无人艇集群控制架构以提高无人艇集群的扩展能力以及降低群体复杂性。首先采用分散式结构,在Boid群集模型的基础下设计无人艇集群控制结构,通过短程斥力避免个体碰撞,有效地利用隐含的类粘性摩擦对齐规则项来抑制系统缺陷导致的振荡,同时通过引入软控制的概念对全局的无人艇进行约束。选取合适的序参量作为无人艇集群运动评价指标,对无人艇集群运动进行定点和定向仿真验证。实验表明该控制结构可以较好实现集群运动,减少系统中存在的不稳定性,扩展性良好。该控制框架下的无人艇群是一个可以自组织避障的自驱动集群模型。 In this paper,a decentralized structure is adopted to establish an unmanned surface vehicles(USV)swarm control architecture to improve the expansion capability of the unmanned vehicle swarm and reduce the complexity of the group.An improved decentralized control structure based on the Boid model is established by using the three basic terms of short-range repulsion,local velocity alignment and global position constraints.Then this paper selects the appropriate sequence parameter as the evaluation index of the swarm movement of the USVs.Then this paper selects the appropriate sequence parameter as the evaluation index of the swarm movement of the USVs.Finally,the swarm movement of the USVs is simulated and verified on the fixed orientation and fixed point.Simulation experiments show that the decentralized control system can effectively control the fixed-orientation and fixed-point swarm movement,and the routes of the USVs are relatively smooth,this structure has a certain ability to resist oscillation and external unstable factors.The USVs swarm under this control framework is a self-driven swarm model that can self-organize and avoid obstacles.
作者 刘洋 王征 尹洋 龚谢平 LIU Yang;WANG Zheng;YIN Yang;GONG Xieping(School of Electrical Engineering,Naval University of Engineering,Wuhan 430032)
出处 《舰船电子工程》 2023年第5期54-59,233,共7页 Ship Electronic Engineering
关键词 多无人艇集群运动 分散式控制 粘性摩擦 软控制 诱导控制 swarm movement of the USVs decentralized control viscous friction soft control shill control
  • 相关文献

参考文献5

二级参考文献31

  • 1赵飞,叶震.UDP协议与TCP协议的对比分析与可靠性改进[J].计算机技术与发展,2006,16(9):219-221. 被引量:74
  • 2徐玉如,苏玉民,庞永杰.海洋空间智能无人运载器技术发展展望[J].中国舰船研究,2006,1(3):1-4. 被引量:87
  • 3N. E. Leonard and E. Fiorelli, Virtual leaders, artificial potentials and coordinated control of groups,in Proceedings of the 40th IEEE Conference on Decision and Control, Orlando, FL, December 2001,2968-2973.
  • 4Project of soft control, http://complex.amss.ac.cn/hanjing/softcontrol/. Videos and demos canbe downloaded .from http://complex.amss.ac.cn/hanjing/softcontrol/demo.html.
  • 5Synthetic Reality Project at Carnegie Mellon. http://www-2.cs.cmu.edu/-ciaytronies/.
  • 6W. S-Y. Wang, J. Ke, and J. W. Minett, Computational studies of language evolution, in Computational Linguistics and Beyond (ed. by R. Huang and W. Lenders), Nankang, Jiangxi, 2004,65-106.
  • 7X. F. Wang and G. Chen, Pinning control of scale-free dynamical networks, Physica, 2002, 310(A):521-531.
  • 8A. Jadbabaie, J. Lin, and A. S. Morse, Coordination of groups of mobile autonomous agents using nearest neighbor rules, IEEE Trans. on Automatic Control, 2003, 48: 988-1001.
  • 9D, Helbing, I. Farkas, and T. Vicsek, Simulating dynamical features of escape panic, Nature, 2000,407: 487-490.
  • 10R. L. Axtell and S. Chakravarty, Radicals, revolutionaries and reactionaries in a multi-agent modelof class norms, Private communicatiou.

共引文献72

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部