In this paper proposed prediction strategy DMPC mathematical model to prevent the problems of collision risk and insufficient precision in the rapid assembly process of UAV formation. Predicted the future state of the UAV formation to avoid the risk of collision within the UAV formation, dynamically optimize model improves the stability and the consistency of the UAV formation. The population structure optimization is performed to prevent the trend of the Quatre algorithm falling into local optimization, the parent individuals with the best genes are selectively added to the offspring population and participate in the generation of new populations, which accelerates the convergence of the population optimization. According to the experimental results, it can be determined that improved Quatre algorithm proposed in this paper improves the whole stability of the UAV formation rapid assembly, and decreases position error of the whole UAV formation. Improved Quatre algorithm decreases the average number of iterations by 4.6% and the calculation time by 5.2%.
Improved Quatre Solution for UAV Formation Rapid Assembly
Lect. Notes Electrical Eng.
International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021
Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021) ; Kapitel : 202 ; 2047-2053
2022-03-18
7 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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