TY - GEN
T1 - Integrated Guidance and Control for Autonomous Rendezvous of Unmanned Aerial Vehicle during Aerial Refueling
AU - Zhao, Wenbi
AU - Duan, You
AU - Yu, Ziquan
AU - Qu, Yaohong
AU - Zhang, Youmin
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/15
Y1 - 2021/6/15
N2 - The guidance law and the flight control system design problem for the unmanned aerial vehicle (UAV) in the autonomous rendezvous phase of aerial refueling have been studied in this paper. Firstly, according to the relative relationship between virtual tanker aircraft and UAV, the guidance law of UAV is designed by dividing terminal angle restriction and speed restriction. With respect to the terminal angle restriction guidance law, global fast terminal sliding mode control strategy is introduced to ensure that UAV can quickly track the virtual tanker aircraft in finite time. Then, the tracking angle obtained by the guidance law is converted to the desired attitude angle signal. Moreover, a double integration-based sliding mode control method is applied to design the UAV flight control scheme, and the radial basis function (RBF) neural network is used to estimate the uncertain terms of UAV. The designed double integral sliding mode method is capable of meticulous control for the UAV attitude, and make the attitude of the UAV reach the desired command signal in a limited time. Finally, the effectiveness of the designed control system is demonstrated by numerical simulations.
AB - The guidance law and the flight control system design problem for the unmanned aerial vehicle (UAV) in the autonomous rendezvous phase of aerial refueling have been studied in this paper. Firstly, according to the relative relationship between virtual tanker aircraft and UAV, the guidance law of UAV is designed by dividing terminal angle restriction and speed restriction. With respect to the terminal angle restriction guidance law, global fast terminal sliding mode control strategy is introduced to ensure that UAV can quickly track the virtual tanker aircraft in finite time. Then, the tracking angle obtained by the guidance law is converted to the desired attitude angle signal. Moreover, a double integration-based sliding mode control method is applied to design the UAV flight control scheme, and the radial basis function (RBF) neural network is used to estimate the uncertain terms of UAV. The designed double integral sliding mode method is capable of meticulous control for the UAV attitude, and make the attitude of the UAV reach the desired command signal in a limited time. Finally, the effectiveness of the designed control system is demonstrated by numerical simulations.
KW - Aerial refueling autonomous rendezvous
KW - double integral sliding mode control method
KW - guidance law design
KW - radial basis function (RBF) neural network
KW - unmanned aerial vehicle (UAV)
UR - http://www.scopus.com/inward/record.url?scp=85111430089&partnerID=8YFLogxK
U2 - 10.1109/ICUAS51884.2021.9476886
DO - 10.1109/ICUAS51884.2021.9476886
M3 - 会议稿件
AN - SCOPUS:85111430089
T3 - 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021
SP - 814
EP - 820
BT - 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021
Y2 - 15 June 2021 through 18 June 2021
ER -