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Multi-UAV decentralized cooperative navigation method based on memory-fusion

  • Zebo ZHOU ,
  • Zeliang ZHANG ,
  • Xin PENG ,
  • Gun LI ,
  • Yang TAO ,
  • Liangquan WANG ,
  • Xin LUO
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  • 1.School of Aeronautics and Astronautic,University of Electronic Science and Technology of China,Chengdu  611731,China
    2.China Aerodynamics Research and Development Center,Mianyang  621000,China

Received date: 2022-12-29

  Revised date: 2023-03-23

  Accepted date: 2023-07-03

  Online published: 2023-06-06

Supported by

National Natural Science Foundation of China(42074038);Research Open Subject Grant for the High Speed Aerodynamic Institute, China Aerodynamic Research and Development Center(2104RAL202102-1)

Abstract

To address the communication delay problem during cooperative interaction of multiple Unmanned Aerial Vehicles (UAVs), a memory-fusion based multi-UAV decentralized cooperative navigation algorithm is proposed. On the basis of the UAV inertial and Global Navigation Satellite System (GNSS) tightly combined navigation framework, the system state vector considering the effect of communication delay is established, and the system state error and its variance are derived. Then the optimal estimation model about the state of each UAV is constructed., and the optimal state is estimated based on the criterion of minimum variance of the state error. A decentralized cooperative navigation algorithm for multiple UAVs is established based on inter-aircraft relative measurements, and a time delay processing method is proposed based on the memory fusion model. The results show that the proposed algorithm can effectively compensate for the loss of accuracy caused by communication delay and improve the positioning accuracy.

Cite this article

Zebo ZHOU , Zeliang ZHANG , Xin PENG , Gun LI , Yang TAO , Liangquan WANG , Xin LUO . Multi-UAV decentralized cooperative navigation method based on memory-fusion[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023 , 44(20) : 628440 -628440 . DOI: 10.7527/S1000-6893.2023.28440

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