Journal of System Simulation
Abstract
Abstract: To solve the problems that the traditional artificial potential field method is prone to fall into the local extreme value, target unreachability and excessive curvature of the planned trajectory curvature in the application of UAV trajectory planning, on the basis of the layered potential field method, a method of adding a second local attractive field at the target point and an attractive set composed of the target attractive field is proposed. This method overcomes the defects of unreachable targets and easy falling into local extremes. In addition, a piecewise function is introduced into the original layered potential field method, which improves the efficiency of trajectory planning and shortens the length of the trajectory. The simulation compares the traditional artificial potential field algorithm, comparison algorithm one, comparison algorithm two, the potential field algorithm based on the additional attractive field and the compound attractive field proposed in this paper, and the adaptive segmented potential field algorithm. The results show that the adaptive segmented potential field algorithm has better effectiveness and strong robustness.
Recommended Citation
Tian, Guangjian; Dai, Jiyang; Ying, Jin; and Wang, Ning
(2022)
"Multi-UAV Trajectory Planning Based on Adaptive Segmented Potential Field Method,"
Journal of System Simulation: Vol. 34:
Iss.
11, Article 6.
DOI: 10.16182/j.issn1004731x.joss.21-0538
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss11/6
First Page
2368
Revised Date
2021-07-21
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-0538
Last Page
2376
CLC
TP391.9
Recommended Citation
Guangjian Tian, Jiyang Dai, Jin Ying, Ning Wang. Multi-UAV Trajectory Planning Based on Adaptive Segmented Potential Field Method[J]. Journal of System Simulation, 2022, 34(11): 2368-2376.
DOI
10.16182/j.issn1004731x.joss.21-0538
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