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Long Endurance and Long Distance Trajectory Optimization for Engineless UAV by Dynamic Soaring

B. J. Zhu1,2, Z. X. Hou1, X. Z. Wang3, Q. Y. Chen1
College of Aerospace Sciences and Engineering, National University of Defense Technology, Changsha, 410073, China.
Corresponding author. Tel: +8613548776007; Fax: +86-0731-84573189; E-mail: jackerzhu@163.com
Chongqing Key Laboratory of Heterogeneous Material Mechanics, Department of Engineering Mechanics, Postdoctoral Station of Mechanics, Chongqing University, Chongqing 400040, China.

Computer Modeling in Engineering & Sciences 2015, 106(5), 357-377. https://doi.org/10.3970/cmes.2015.106.357

Abstract

The paper presents a comprehensive study on the performance of long endurance and long distance trajectory optimization of engineless UAV in dynamic soaring. A dynamic model of engineless UAV in gradient wind field is developed. Long endurance and long distance trajectory optimization problems are modelled by non-linear optimal control equations. Two different boundary conditions are considered and results are compared: (i) open long endurance pattern, (ii) closed long endurance pattern, (iii) open long distance pattern. In patterns of (i) and (ii), the UAV return to original position with the maximum flying time in pattern (ii) , and in patterns of (ii) and (iii), the maximum distance and minimum flying time occur in pattern (iii). The energy variations trends of three patterns have shown a fairly similar pattern. In the gradient wind field, long endurance and long distance are two independent flight patterns for engineless UAV by dynamic soaring.

Keywords

long endurance, long distance, dynamic soaring, non-linear optimal control.

Cite This Article

Zhu, B. J., Hou, Z. X., Wang, X. Z., Chen, Q. Y. (2015). Long Endurance and Long Distance Trajectory Optimization for Engineless UAV by Dynamic Soaring. CMES-Computer Modeling in Engineering & Sciences, 106(5), 357–377.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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