TY - GEN
T1 - A fuzzy adaptive drogue control method in autonomous aerial refueling
AU - Bai, Jinxin
AU - Meng, Zhongjie
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In the autonomous aerial refueling mission, the drogue is greatly influenced by the refueling hose and complex flow field, which makes it extremely difficult to control. To solve this problem, firstly, we focus on the restraining effect of the bending recovery moment and tension moment of the refueling hose on the attitude of the drogue, and a complete recursive dynamics model of the refueling hose-controlled drogue is established. Then, taking the position of the drogue as the control object, a fuzzy adaptive control method of the drogue trajectory is designed, and the adaptive updating fuzzy model is used to approximate the influence of the refueling hose and the complex flow field. Meanwhile, the adaptive error estimation technique is introduced to compensate the error of fuzzy approximation. Finally, the numerical simulation results verify that the method can effectively suppress the influence of hose and flow field and realize the drogue trajectory maneuver control.
AB - In the autonomous aerial refueling mission, the drogue is greatly influenced by the refueling hose and complex flow field, which makes it extremely difficult to control. To solve this problem, firstly, we focus on the restraining effect of the bending recovery moment and tension moment of the refueling hose on the attitude of the drogue, and a complete recursive dynamics model of the refueling hose-controlled drogue is established. Then, taking the position of the drogue as the control object, a fuzzy adaptive control method of the drogue trajectory is designed, and the adaptive updating fuzzy model is used to approximate the influence of the refueling hose and the complex flow field. Meanwhile, the adaptive error estimation technique is introduced to compensate the error of fuzzy approximation. Finally, the numerical simulation results verify that the method can effectively suppress the influence of hose and flow field and realize the drogue trajectory maneuver control.
KW - autonomous aerial refueling
KW - controllable drogue
KW - fuzzy adaptive control
KW - trajectory maneuver control
UR - http://www.scopus.com/inward/record.url?scp=85146826852&partnerID=8YFLogxK
U2 - 10.1109/ICIEA54703.2022.10006048
DO - 10.1109/ICIEA54703.2022.10006048
M3 - 会议稿件
AN - SCOPUS:85146826852
T3 - ICIEA 2022 - Proceedings of the 17th IEEE Conference on Industrial Electronics and Applications
SP - 1504
EP - 1509
BT - ICIEA 2022 - Proceedings of the 17th IEEE Conference on Industrial Electronics and Applications
A2 - Xie, Wenxiang
A2 - Gao, Shibin
A2 - He, Xiaoqiong
A2 - Zhu, Xing
A2 - Huang, Jingjing
A2 - Chen, Weirong
A2 - Ma, Lei
A2 - Shu, Haiyan
A2 - Cao, Wenping
A2 - Jiang, Lijun
A2 - Shu, Zeliang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE Conference on Industrial Electronics and Applications, ICIEA 2022
Y2 - 16 December 2022 through 19 December 2022
ER -