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This paper addressed a well-documented open problem regarding unmanned aerial vehicles (UAVs) formation. Considering dynamic system features, a novel optimal formation algorithm for UAV system is presented in this paper. The UAV formation optimization problem can be first modeled as a linear quadratic optimization problem based on the analysis of the discrete UAV tracking error dynamic model. Subsequently, in order to achieve the purpose of minimizing the error of the system state including speed and position, a new optimal formation control design method is proposed. Finally, the effectiveness of the algorithm is verified by numerical simulation. © 2022 IEEE.
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Year: 2022
Page: 307-311
Language: English
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count: 1
ESI Highly Cited Papers on the List: 0 Unfold All
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Chinese Cited Count:
30 Days PV: 4
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