Distributed Optimal Deployment on a Circle for Cooperative Encirclement of Autonomous Mobile Multi-Agents

被引:0
|
作者
Yan, Pengpeng [1 ]
Fan, Yonghua [1 ]
Liu, Ruifan [1 ,2 ]
Wang, Mingang [1 ]
机构
[1] Northwestern Polytech Univ, Sch Astronaut, Xian 710072, Peoples R China
[2] Cranfield Univ, Ctr Autonomous & Cyber Phys Syst, Bedford MK43 0AL, England
来源
IEEE ACCESS | 2020年 / 8卷
关键词
Cooperative encirclement; optimal deployment; autonomous mobile multi-agents; distributed control; uniform coverage control; COVERAGE CONTROL; SENSOR NETWORKS; SYSTEMS; TARGET;
D O I
10.1109/ACCESS.2020.2982581
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A distributed encirclement points deployment scheme for a group of autonomous mobile agents is addressed in this paper. Herein, each agent can measure its own azimuth related to the common target and can at least communicate with its two adjacent neighbors. Given its space-cooperative character, the encirclement points deployment problem is formulated as the coverage control problem on a circle. The measurement range of azimuth sensor is taken into consideration when doing problem formulation, which is closer to the facts in real-world applications. Then, the fully distributed control protocols are put forward based on geometric principle and the convergence is proved strictly with algebraic method. The proposed control protocols can steer the mobile agents to distribute evenly on the circle such that the coverage cost function is minimized, and meanwhile the mobile agents' spatial order on the circle is preserved throughout the systems' evolution. A noteworthy feature of the proposed control protocols is that only the azimuths of a mobile agent and its two adjacent neighbors are needed to calculate the mobile agent's control input, so that the control protocols can be easily implemented in general. Moreover, an adjustable feedback gain is introduced, and it can be employed to improve the convergence rate effectively. Finally, numerical simulations are carried out to verify the effectiveness of the proposed distributed control protocols.
引用
收藏
页码:58337 / 58344
页数:8
相关论文
共 50 条
  • [1] Distributed Optimal Deployment on a Circle for Cooperative Encirclement of Autonomous Mobile Multi-Agents
    Yan, Pengpeng
    Fan, Yonghua
    Liu, Ruifan
    Wang, Mingang
    [J]. IEEE Access, 2020, 8 : 58337 - 58344
  • [2] Distributed Encirclement Points Deployment of Autonomous Mobile Multi-Agents Based on Finite-Time Consensus
    Yan P.
    Fan Y.
    Chen Y.
    Wang M.
    [J]. 1600, Northwestern Polytechnical University (38): : 1139 - 1145
  • [3] Distributed Nonlinear Control of Mobile Autonomous Multi-Agents
    Liu Tengfei
    Jiang Zhong-Ping
    [J]. 2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, : 1728 - 1733
  • [4] Distributed nonlinear control of mobile autonomous multi-agents
    Liu, Tengfei
    Jiang, Zhong-Ping
    [J]. AUTOMATICA, 2014, 50 (04) : 1075 - 1086
  • [5] Optimal deployment of heterogeneous mobile agents on a circle
    Song, Cheng
    Liu, Lu
    Feng, Gang
    [J]. 2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, : 1168 - 1172
  • [6] On Optimal Decentralized Control of Multi-agents Performing Cooperative Tasks
    Senda, Kei
    Satake, Ryoma
    [J]. IFAC PAPERSONLINE, 2023, 56 (02): : 9697 - 9702
  • [7] Distributed cooperative deployment of heterogeneous autonomous agents: a Pareto suboptimal approach
    Franzini, Giovanni
    Innocenti, Mario
    [J]. ROBOTICA, 2018, 36 (12) : 1943 - 1962
  • [8] Distributed Control of Autonomous Multi-Agents: A Small-Gain Approach
    Jiang, Zhong-Ping
    Liu, Tengfei
    [J]. 2015 10TH INTERNATIONAL WORKSHOP ON ROBOT MOTION AND CONTROL (ROMOCO), 2015, : 103 - 117
  • [9] Intelligent mobile agents in large distributed autonomous cooperative systems
    Wong, JSK
    Mikler, AR
    [J]. JOURNAL OF SYSTEMS AND SOFTWARE, 1999, 47 (2-3) : 75 - 87
  • [10] Distributed multi-agents and cooperative problem solving for on-line fault diagnosis
    Shin, D
    Lee, G
    Yoon, ES
    [J]. PROCESS SYSTEMS ENGINEERING 2003, PTS A AND B, 2003, 15 : 618 - 623