TY - JOUR
T1 - Transition Optimization for a VTOL Tail-Sitter UAV
AU - Li, Boyang
AU - Sun, Jingxuan
AU - Zhou, Weifeng
AU - Wen, Chih Yung
AU - Low, Kin Huat
AU - Chen, Chih Keng
N1 - Funding Information:
Manuscript received March 19, 2019; revised November 3, 2019; accepted March 15, 2020. Date of publication March 31, 2020; date of current version October 14, 2020. This work was supported in part by the Innovation and Technology Commission, Hong Kong, under Contract ITS/334/15FP and in part by the Research Institute for Sustainable Urban Development of The Hong Kong Polytechnic University. Recommended by Technical Editor E. Tunstel. (Corresponding author: Chih-Keng Chen.) Boyang Li, Weifeng Zhou, and Chih-Yung Wen are with the Interdisciplinary Division of Aeronautical and Aviation Engineering and Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hong Kong (e-mail: [email protected]; chandler. [email protected]; [email protected]).
Publisher Copyright:
© 1996-2012 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/10
Y1 - 2020/10
N2 - This article focuses on the transition process optimization for a vertical takeoff and landing (VTOL) tail-sitter unmanned aerial vehicle (UAV). For VTOL UAVs that can fly with either hover or cruise mode, transition refers to the intermediate phases between these two modes. This work develops a transition strategy with the trajectory optimization method. The strategy is a reference maneuver enabling the vehicle to perform transition efficiently by minimizing the cost of energy and maintaining a small change of altitude. The simplified three-degree-of-freedom longitudinal aerodynamic model is used as a dynamic constraint. The transition optimization problem is then modeled by nonlinear programming and solved by the collocation method to obtain the reference trajectory of the pitch angle and throttle offline. Simulations with the Gazebo simulator and outdoor flight experiments are carried out with the optimized forward (hover cruise) and backward (cruise hover) transition solutions. The simulation and experimental results show that the optimized transition strategy enables the vehicle to finish transition with less time and change of altitude compared with that by using traditional linear transition methods.
AB - This article focuses on the transition process optimization for a vertical takeoff and landing (VTOL) tail-sitter unmanned aerial vehicle (UAV). For VTOL UAVs that can fly with either hover or cruise mode, transition refers to the intermediate phases between these two modes. This work develops a transition strategy with the trajectory optimization method. The strategy is a reference maneuver enabling the vehicle to perform transition efficiently by minimizing the cost of energy and maintaining a small change of altitude. The simplified three-degree-of-freedom longitudinal aerodynamic model is used as a dynamic constraint. The transition optimization problem is then modeled by nonlinear programming and solved by the collocation method to obtain the reference trajectory of the pitch angle and throttle offline. Simulations with the Gazebo simulator and outdoor flight experiments are carried out with the optimized forward (hover cruise) and backward (cruise hover) transition solutions. The simulation and experimental results show that the optimized transition strategy enables the vehicle to finish transition with less time and change of altitude compared with that by using traditional linear transition methods.
KW - Flight experiments
KW - tail-sitter
KW - trajectory optimization
KW - transition
KW - unmanned aerial vehicle (UAV)
UR - http://www.scopus.com/inward/record.url?scp=85094107803&partnerID=8YFLogxK
U2 - 10.1109/TMECH.2020.2983255
DO - 10.1109/TMECH.2020.2983255
M3 - Journal article
AN - SCOPUS:85094107803
SN - 1083-4435
VL - 25
SP - 2534
EP - 2545
JO - IEEE/ASME Transactions on Mechatronics
JF - IEEE/ASME Transactions on Mechatronics
IS - 5
M1 - 9051852
ER -