TY - JOUR
T1 - Flight Trajectories Optimization of Fixed-Wing UAV by Bank-Turn Mechanism
AU - Machmudah, Affiani
AU - Shanmugavel, Madhavan
AU - Parman, Setyamartana
AU - Manan, Teh Sabariah Abd
AU - Dutykh, Denys
AU - Beddu, Salmia
AU - Rajabi, Armin
N1 - Funding Information:
Funding: This research was funded by Universitas Airlangga, SATU matching grant (525/UN3/2021 921/UN3.15/PT/2021). The work of Denys Dutykh has been supported by the French National Research Agency, through the Investments for Future Program (ref. ANR-18-EURE-0016—Solar Academy).
Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/3
Y1 - 2022/3
N2 - This paper addresses an optimization of Unmanned Aerial Vehicle (UAV) flight trajectories by bank-turn mechanism for a fixed-wing UAV at a constant altitude. The flight trajectories should be optimal and stay in the UAV flight operational area. The maneuver planning is conducted in two steps, which are UAV path planning and UAV flight trajectory planning. For the first step, the Bezier curve is employed as a maneuvering path. The path planning optimization objective is to minimize the path length while satisfying maximum curvature and collision avoidance constraints. The flight trajectories optimization objective is to minimize maneuvering time and load factor considering, minimum/maximum speed, minimum/maximum acceleration, maximum roll angle, maximum turn rate, and aerodynamics constraints. The variable speed trajectory generation is developed within allowable speed zone considering these UAV flight constraints by employing meta-heuristic optimizations. Results show that the PSO have outperformed the GA and the GWO for both steps of path planning and trajectory planning. The variable speed has succeeded in reducing the load factor during the bank-turn mechanism using the Bezier curve. The variable speed is recommended to be conducted when the result of the maneuvering path involve the lower turning radius. A simultaneous on arrival target mission has also succeeded to be conducted using the combination of the variable speed and constant speed strategies.
AB - This paper addresses an optimization of Unmanned Aerial Vehicle (UAV) flight trajectories by bank-turn mechanism for a fixed-wing UAV at a constant altitude. The flight trajectories should be optimal and stay in the UAV flight operational area. The maneuver planning is conducted in two steps, which are UAV path planning and UAV flight trajectory planning. For the first step, the Bezier curve is employed as a maneuvering path. The path planning optimization objective is to minimize the path length while satisfying maximum curvature and collision avoidance constraints. The flight trajectories optimization objective is to minimize maneuvering time and load factor considering, minimum/maximum speed, minimum/maximum acceleration, maximum roll angle, maximum turn rate, and aerodynamics constraints. The variable speed trajectory generation is developed within allowable speed zone considering these UAV flight constraints by employing meta-heuristic optimizations. Results show that the PSO have outperformed the GA and the GWO for both steps of path planning and trajectory planning. The variable speed has succeeded in reducing the load factor during the bank-turn mechanism using the Bezier curve. The variable speed is recommended to be conducted when the result of the maneuvering path involve the lower turning radius. A simultaneous on arrival target mission has also succeeded to be conducted using the combination of the variable speed and constant speed strategies.
KW - Flight trajectories optimization
KW - Maneuvering
KW - Meta-heuristic optimization
KW - Sustainability
KW - Sustainable flight trajectory
KW - UAV
UR - http://www.scopus.com/inward/record.url?scp=85126082891&partnerID=8YFLogxK
U2 - 10.3390/drones6030069
DO - 10.3390/drones6030069
M3 - Article
AN - SCOPUS:85126082891
SN - 2504-446X
VL - 6
JO - Drones
JF - Drones
IS - 3
M1 - 69
ER -