Planning and Analysis on UAV Trajectory Based on PCE Method

Authors

Sijie Zeng, College of Liberal Arts and Science, National University of Defense Technology, Changsha 410073, China;
Yan Liang, College of Liberal Arts and Science, National University of Defense Technology, Changsha 410073, China;
Xiaojun Duan, College of Liberal Arts and Science, National University of Defense Technology, Changsha 410073, China;

Abstract

Abstract: Focusing on the uncertainty in the UAV trajectory planning, combined with the artificial potential energy method, a UAV trajectory planning method based on polynomial chaos expansion (PCE), which can also efficiently obtain the optimal parameters of the model based on artificial potential field method is proposed. The PCE proxy model is established, and the stochastic collocation method is used to quickly solve the problem, so as to avoid the insufficient computing resources. Through the Sobol sensitivity analysis, the calculation overhead of the uncertainty parameters in the trajectory planning model is reduced. Cases of UAV trajectory planning prove the effectiveness of the method. Compared with the classic artificial potential field model, uncertainty analysis is added and the calculation efficiency of the model is improved.

Recommended Citation

Zeng, Sijie; Liang, Yan; and Duan, Xiaojun (2022) "Planning and Analysis on UAV Trajectory Based on PCE Method," Journal of System Simulation: Vol. 34: Iss. 1, Article 16.
DOI: 10.16182/j.issn1004731x.joss.20-0669
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss1/16

First Page

145

Revised Date

2020-11-28

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0669

Last Page

152

CLC

TP391.9

Recommended Citation

Zeng Sijie, Yan Liang, Duan Xiaojun. Planning and Analysis on UAV Trajectory Based on PCE Method[J]. Journal of System Simulation, 2022, 34(1): 145-152.

Corresponding Author

Xiaojun Duan,

DOI

10.16182/j.issn1004731x.joss.20-0669