Swarm Obstacle and Collision Avoidance using Descriptor Functions

被引:0
|
作者
Innocenti, Mario [1 ]
Pollini, Lorenzo [1 ]
Franzini, Giovanni [1 ]
Salvetti, Alessandro [2 ]
机构
[1] Univ Pisa, Dept Informat Engn, I-56122 Pisa, Italy
[2] AgustaWestland SpA, I-21015 Varese, Italy
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The descriptor function framework is used as tool for the control management of a swarm of dynamic agents. In this framework, a provision is made for obstacle and collision avoidance, thus improving the potential of the methodology from previous results. Obstacle and collision avoidance terms are added to the overall mission performance index, and the resulting control law moves the agents along obstacle and collision free trajectories. The analytical derivation is validated via numerical simulations.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Cooperative Target Fencing Control for Unmanned Aerial Vehicle Swarm with Collision, Obstacle Avoidance, and Connectivity Maintenance
    Yu, Hao
    Yang, Xiuxia
    Zhang, Yi
    Jiang, Zijie
    DRONES, 2024, 8 (07)
  • [22] A ground and obstacle collision avoidance technique (GOCAT)
    Hewitt, C.
    Hickey, A.J.
    Boyes, J.D.
    IEEE Aerospace and Electronic Systems Magazine, 1991, 6 (08) : 13 - 20
  • [23] ANALYTIC VELOCITY OBSTACLE FOR EFFICIENT COLLISION AVOIDANCE
    Xi, Zhimin
    Torkamani, Elnaz Asghari
    PROCEEDINGS OF ASME 2022 INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, IDETC-CIE2022, VOL 3A, 2022,
  • [24] Collision avoidance between UAV clusters using swarm intelligence techniques
    Sharma, R. K.
    Ghose, D.
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2009, 40 (05) : 521 - 538
  • [25] Obstacle avoidance control of redundant robots using variants of particle swarm optimization
    Chyan, Goh Shyh
    Ponnambalam, S. G.
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2012, 28 (02) : 147 - 153
  • [26] Study of Formation Control and Obstacle Avoidance of Swarm Robots using Evolutionary Algorithms
    Roy, Dibyendu
    Maitra, Madhubanti
    Bhattacharya, Samar
    2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2016, : 3154 - 3159
  • [27] Consensus Control of Mobile Agents with Obstacle Avoidance using Collision Cone Approach
    Akkaya, Sirin
    Akbati, Onur
    Ergenc, Ali Fuat
    2018 6TH INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING & INFORMATION TECHNOLOGY (CEIT), 2018,
  • [28] Comparison of Velocity Obstacle and Artificial Potential Field Methods for Collision Avoidance in Swarm Operation of Unmanned Surface Vehicles
    Jo, Hyun-Jae
    Kim, Su-Rim
    Kim, Jung-Hyeon
    Park, Jong-Yong
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 10 (12)
  • [29] Multi-Robot Source Location of Scalar Fields by a Novel Swarm Search Mechanism With Collision/Obstacle Avoidance
    Li, Rui-Guo
    Wu, Huai-Ning
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (01) : 249 - 264
  • [30] On the Effects of Collision Avoidance on Emergent Swarm Behavior
    Taylor, Chris
    Luzzi, Colin
    Nowzari, Cameron
    2020 AMERICAN CONTROL CONFERENCE (ACC), 2020, : 931 - 936