论文:2018,Vol:36,Issue(3):565-570
引用本文:
谭雁英, 薛亮, 张艳宁, 祝小平. 通信拓扑变化条件下多无人机同时到达控制策略[J]. 西北工业大学学报
Tan Yanying, Xue Liang, Zhang Yanning, Zhu Xiaoping. Control Strategies for Multi-UAV Simultaneous Arrival under Communication Topology Changing[J]. Northwestern polytechnical university

通信拓扑变化条件下多无人机同时到达控制策略
谭雁英1, 薛亮2, 张艳宁3, 祝小平4
1. 西北工业大学 航天学院精确制导与控制研究所, 陕西 西安 710072;
2. 中国人民解放军31670部队, 宁夏 银川 750027;
3. 西北工业大学 计算机学院, 陕西 西安 710129;
4. 西北工业大学 无人机所, 陕西 西安 710065
摘要:
针对战场环境中无人机多机成员通信链路局部时断时续情形,并基于一致性算法有向生成树最弱通信连通条件,设计了无人机多机通信拓扑包含有向生成树/子树的判别策略、以及重新包含有向生成树的通信链路最小变更方案的获取策略;研究选取预计到达时间(ETA)为协调变量,基于一致性算法控制无人机成员或其成员子集实现同时到达;提出设置虚拟子目标点的一致性控制策略,实现多无人机空中聚集飞行和同时到达,以提高作战生存力,并且避免多无人机飞行间距超出相互通信作用范围;通过仿真与分析,验证了上述策略的有效性。
关键词:    多无人机    同时到达    一致性算法    网络通信拓扑    策略   
Control Strategies for Multi-UAV Simultaneous Arrival under Communication Topology Changing
Tan Yanying1, Xue Liang2, Zhang Yanning3, Zhu Xiaoping4
1. Institute of Precision Guidance and Control, Northwestern Polytechnic University, Xi'an 710072, China;
2. The Chinese People's Liberation Army 31670 Forces, Yinchuan 750027, China;
3. School of Computer, Northwestern Polytechnic University, Xi'an 710129, China;
4. UAV Research Institute, Northwestern Polytechnic University, Xi'an 710065, China
Abstract:
Aimed at changing in communication topology due to partial link/node failure in the battlefield, and for satisfying the weakest connectivity criteria of consensus algorithm, the strategy of judging in real time whether the communication topology among UAVs has a directed spanning tree or sub-tree and the strategy of acquiring the expected minimum partial link change suggestion for the topology containing a directed spanning tree again are designed. Based on the above strategies and selecting ETA (Estimated Time of Arrival) as coordinated variable, the consensus algorithm ensures that after some time all the members or part members of the UAVs arrive simultaneously. The strategy is put forword which the UAVS are controlled arriving simultaneously on the planed virtual sub-goal waypoints one by one along the flight path. Through the strategy, the UAVs fly together soon and arrive simultaneously at last. It is helpful to improve the survival rate of UAVs and preserve the communication connectivity of UAVs which is usually distance-dependent. The simulation results show that the above strategies are effective.
Key words:    multi-UAVs    simultaneous arrival    consensus algorithm    communication topology    Strategy   
收稿日期: 2017-04-02     修回日期:
DOI:
通讯作者:     Email:
作者简介: 谭雁英(1967-),女,西北工业大学教授、博士,主要从事无人机自主飞行智能管理、任务规划及组合导航控制研究。
相关功能
PDF(1627KB) Free
打印本文
把本文推荐给朋友
作者相关文章
谭雁英  在本刊中的所有文章
薛亮  在本刊中的所有文章
张艳宁  在本刊中的所有文章
祝小平  在本刊中的所有文章

参考文献:
[1] Office of the Secretary of Defense USA. Unmanned Systems Roadmap[R]2007-2032-2007
[2] 吴永红,刘敬贤. 多智能体网络一致性协同控制理论及应用[M]. 北京:科学出版社,2013:3 Wu Yonghong, Liu Jingxian. Theory and Application of Multi-Agent Network Consistency[M]. Beijing, Science Press, 2013:3(in Chinese)
[3] Olfati S R, Murray R M. Consensus Problems in Networks of Agents with Switching Topology and Time Delays[J]. IEEE Trans on Automatic Control, 2004,49(9):1520-1533
[4] Jadbabaie A, Lin J, Morse A S. Coordination of Groups of Mobile Autonomous Agents Using Nearest Neighbor Rules[J]. IEEE Trans on Automatic Control, 2003, 48(6):988-1001
[5] Nelson D R, Mclain T W, Christiansen R S, et al. Initial Experiments in Cooperative Control of Unmanned Air Vehicles[C]//Collection of Technical Papers AIAA 3rd "Unmanned-Unlimited" Technical Conference, Workshop, and Exhibit. Chicago, USA, 2004:666-674
[6] 徐伟,段凤阳,张庆杰,等. 带参改进一致性算法在多无人机集结任务的应用[J]. 计算机测量与控制,2015,23(9):3133-3137 Xu Wei, Duan Fengyang, Zhang Qingjie, et al. Application of an Improved Consensus Algorithm Using a Parameter in Rendezvousing Mission of Multi-UAV[J]. Computer Measurement & Control,2015,23(9):3133-3137(in Chinese)
[7] 符小卫,崔洪杰,高晓光. 多无人机集结问题分布式求解方法[J]. 系统工程与电子技术,2015,37(8):1797-1802 Fu Xiaowei, Cui Hongjie, Gao Xiaoguang. Distributed Solving Method of Multi-UAV Rendezvous Problem[J]. Systems Engineering and Electronics, 2015, 37(8):1797-1802(in Chinese)
[8] 林茜,吴晓峰. 时滞多智能体系统关于参考状态的信息一致性[J]. 系统工程学报,2010,25(6):841-846 Lin Qian, Wu Xiaofeng. Consensus in Multi-Agents System with Delay Communication and Reference State[J]. Journal of Systems Engineering, 2010,25(6):841-846(in Chinese)
[9] Zhu Yakun, Chen Cailian, Guan Xinping, Luo Xiaoyuan. Finite-Time Consensus of Leader-Follower Multi-Agent Systems with Fixed and Switching Topologies[C]//Proceeding of the 11th World Congress on Intelligent Control and Automation. Shenyang, China, 2014
[10] Ren W, Beard R W. Consensus of Information under Dynamically Changing Interaction Topologies[C]//Proceeding of the American Control Conference. Boston, USA, 2004:4939-4943
[11] Su H, Chen G, Wang X, et al. Adaptive Second-Order Consensus of Networked Mobile Agents with Nonlinear Dynamics[J]. Automatica, 2011, 47(2):368-375
[12] Wen Guanghui, Valery Ugrinovskii. Distributed Consensus of Linear Multi-Agent Systems with Switching Directed Topologies[C]//2014 Australian Control Conference Canberra, 2014:17-18
[13] Xiao Feng, Wang Long, Chen Tongwen. Finite-Time Consensus of Multi-Agent Systems with Directed and Intermittent Links[C]//Proceedings of the 30th Chinese Control Conference,2011:22-24
[14] Ren W, Beard R W. Consensus Seeking in Multi-Agent Systems under Dynamically Changing Interaction Topologies[J]. IEEE Trans on Automatic Control, 2005,50(5):655-661
[15] 袁利平,陈宗基,周锐,等. 多无人机同时到达的分散化控制方法[J]. 航空学报,2010,31(4):797-805 Yuan Liping, Chen Zongji, Zhou Rui, et al. Decentralized Control for Simultaneous Arrival of Multiple UAVs[J]. Acta Aeronauticaet Astronautica Sinica, 2010,31(4):797-805(in Chinese)
[16] 尤建龙. 多无人机集结协同控制技术研究[D]. 西安:西北工业大学,2015 You Jianlong. Cooperative Control Technique for Multi-UAV Aggregation[D]. Xi'an, Northwestern Polytechnical University, 2015(in Chinese)