An intelligent distributed anti-collision control algorithm for UAV swarm formation

Konferenz: EEI 2022 - 4th International Conference on Electronic Engineering and Informatics
24.06.2022 - 26.06.2022 in Guiyang, China

Tagungsband: EEI 2022

Seiten: 5Sprache: EnglischTyp: PDF

Autoren:
Nan, Mingyu; Zhu, Yifan; Wang, Tao (College of System Engineering, National University of Defense Technology, Changsha, China)

Inhalt:
To improve the control quality and anti-collision performance of the UAV swarm, this paper proposes a new intelligent anti-collision swarm control algorithm based on the advantages of two algorithms, consistency algorithms and reinforcement learning algorithms. The consistency algorithm performs less well in anti-collision aspect, and the reinforcement learning algorithm is unable to convergence in finite time. For eliminating adverse effects of communication jamming environments, this paper combines the consistency algorithm with Fuzzy Q learning algorithm, presenting a new Multi- Agent Consistency-Fuzzy Q learning algorithm (MACFQL). The validity of the algorithm is demonstrated in the section of calculating samples.