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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2022, Vol. 43 ›› Issue (10): 527570-527570.doi: 10.7527/S1000-6893.2022.27570

• Electronics and Electrical Engineering and Control • Previous Articles     Next Articles

Key technologies for autonomous cooperation of unmanned swarm systems in complex environments

XIANG Jinwu1,2,3, DONG Xiwang2,4, DING Wenrui3, SUO Jinli5, SHEN Lincheng6, XIA Hui7   

  1. 1. School of Aeronautical Science and Engineering, Beihang University, Beijing 100191, China;
    2. Institute of Artificial Intelligence, Beihang University, Beijing 100191, China;
    3. Institute of Unmanned System, Beihang University, Beijing 100191, China;
    4. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;
    5. Department of Automation, Tsinghua University, Beijing 100084, China;
    6. Graduate School, National University of Defense Technology, Changsha 410073, China;
    7. Beijing Institute of Electronic System Engineering, Beijing 100074, China
  • Received:2022-06-04 Revised:2022-06-17 Published:2022-07-14
  • Supported by:
    Science and Technology Innovation 2030-Key Project of "New Generation Artificial Intelligence" (2020AAA0108200)

Abstract: In complex environments with high dynamics, uncertainty and resource constraints, the unmanned swarm system will face challenges in all fields of the "Observation-Orientation-Decision-Action (OODA)" loop when performing complicated tasks such as collaborative area search and swarm optimal scheduling. To improve the adaptability of unmanned swarm systems to different scenarios, it is necessary to break through the key technologies for autonomous cooperation of unmanned swarm systems in complex environments. Based on the theory of robust autonomous cooperation of large-scale heterogeneous unmanned swarm systems in complex environments, this paper gives a review of the design and modeling methods of adaptive heterogeneous architecture for unmanned swarm systems, and discusses three problems:high-dimensional situation distributed perception and cognition, intelligent decision-making with guiding, trusting and evolving ability, and autonomous cooperative control of the unmanned swarm system in complex environments. Firstly, the research progress of autonomous cooperation of unmanned swarm system in complex environment is summarized. Secondly, the challenges faced by OODA task loop of unmanned swarm system are analyzed. Then, the key technologies involved in autonomous cooperation of unmanned swarm system in complex environment and their progress are reviewed. Finally, the future development of autonomous cooperation of unmanned swarm system is given.

Key words: unmanned swarm system, heterogeneous system architecture, distributed perception and cognition, intelligent decision making and planning, cooperative control, simulation and application validation

CLC Number: