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水面无人艇领航—跟随固定时间编队控制
引用本文:侯岳奇, 梁晓龙, 张诺, 等. 有向通信拓扑下海上无人集群分布式编队控制[J]. 中国舰船研究, 2021, 16(6): 1–9, 33. doi: 10.19693/j.issn.1673-3185.02092
作者姓名:侯岳奇  梁晓龙  张诺  陶浩  龚俊斌
作者单位:1.空军工程大学 空管领航学院 航空集群技术与作战运用实验室,陕西 西安 710051;2.中国人民解放军31005部队,北京 100094;3.中国舰船研究设计中心,湖北 武汉 430064
基金项目:国家自然科学基金资助项目(61701471)
摘    要:  目的  为解决海上无人集群在有向通信拓扑条件下的编队控制问题,对无人艇(USV)和无人机(UAV)集群编队跟踪控制问题进行研究。  方法  采用内/外环分层编队控制结构进行系统建模,利用离散时间系统对海上无人集群编队控制问题进行描述,以提高编队控制方法对异构集群的兼容性和实用性。基于虚拟领航者思想,采用基于邻居位置和速度误差反馈的分布式编队控制协议,给出海上无人集群能够实现期望构型和航迹跟踪的充要条件。  结果  仿真结果表明,当通信拓扑存在有向生成树,且在控制协议参数和控制器更新周期满足给定约束条件的情况下,海上无人集群能够实现稳定的编队控制。  结论  所提方法能够适用于海上无人集群在有向通信拓扑条件下的编队控制,具有一定的应用价值。

关 键 词:海上无人集群  通信拓扑  编队控制  一致性控制  分布式控制
收稿时间:2020-08-28
修稿时间:2020-12-01

Time-varying formation control for unmanned aerial vehicles: theories and applications
HOU Y Q, LIANG X L, ZHANG N, et al. Distributed formation control for swarms of unmanned marine vehicle with directed interaction topology[J]. Chinese Journal of Ship Research, 2021, 16(6): 1–9, 33. doi: 10.19693/j.issn.1673-3185.02092
Authors:HOU Yueqi  LIANG Xiaolong  ZHANG Nuo  TAO Hao  GONG Junbin
Affiliation:1.Aviation Swarm Technology and Operational Application Laboratory, Air Traffic Control and Navigation College, Air Force Engineering University, Xi'an 710051, China;2.The 31005 Unit of PLA, Beijing 100094, China;3.China Ship Development and Design Center, Wuhan 430064, China
Abstract:  Objectives  In order to realize the formation control of swarms of unmanned marine vehicle (UMV) with directed interaction topology, the formation tracking control of unmanned surface vehicle (USV) and unmanned aerial vehicle (UAV) swarms is studied.  Methods   An inner/outer loop layered control structure of formation is adopted to model the system, and the discrete-time system is used to describe the formation control problem of UMV swarms, improving the compatibility and practicability of the method for heterogeneous swarms. Based on the idea of a virtual leader, a distributed formation control protocol based on neighbor position and velocity error feedback is adopted, and the necessary and sufficient conditions for UMV swarms to realize the desired configuration and path tracking are given.  Results  The simulation results show that UMV swarms can achieve stable formation control when there is a directed spanning tree in the interaction topology, and the parameters of the control protocol and discrete time period meet the given constraints.  Conclusions  This method has application value in the formation control of UMV swarms with directed interaction topology.
Keywords:swarms of unmanned marine vehicle  interaction topology  formation control  consensus control  distributed control
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