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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2020, Vol. 41 ›› Issue (10): 323928-323928.doi: 10.7527/S1000-6893.2020.23928

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

Optimization of charging queuing of UAV swarming

WANG Yunzhe1,2, XU Guoning1,2, WANG Sheng1,2, LI Zhaojie1,2, CAI Rong1,2   

  1. 1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2020-03-04 Revised:2020-07-21 Published:2020-07-17
  • Supported by:
    Disruptive Innovation Foundation of Aerospace Information Research Institute, Chinese Academy of Sciences(20190919); Strategic Priority Research Program of the Chinese Academy of Sciences(A)(XDA17020304); Natural Science Foundation of Beijing(4164106)

Abstract: Aiming at the problem of fast charging queuing of UAV swarming, this paper, for the first time, proposes to use the average queueing length and the average waiting time as the evaluation indicators for UAV swarming charging queuing. Through theoretical analysis and numerical calculation, the charging queuing methods of distributed charging and concentrated charging are compared under the condition of multiple charging platforms. We discover that an intersection appears in the curves corresponding to the evaluation indicators with the increase of service intensity when UAV swarming meets the Poisson condition. Before the intersection of the curves, the service intensity is weak, and the method of concentrated charging is better than distributed charging. After the intersection, with the increase of service intensity, the method of distributed charging gradually becomes better than concentrated charging. This paper provides a fast charging queuing solution which helps UAV swarming complete tasks efficiently.

Key words: UAV, charging queuing, M/M/1/m model, M/M/n/m model, concentrated charging, distributed charging

CLC Number: