Electronics and Electrical Engineering and Control

Design and wind tunnel test of an advanced controller for aerial refueling docking

  • Fei LUO ,
  • Biao JIANG ,
  • Yining GAO ,
  • Zhiyong HU ,
  • Hailiang LIU ,
  • Junhong ZHANG ,
  • Zikang SU
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  • 1.AVIC First Aircraft Institute,Xi’an 710089,China
    2.School of Aeronautics,Northwestern Polytechnical University,Xi’an 710072,China
    3.School of Aeronautical Science and Engineering,Beihang University,Beijing 100191,China
    4.School of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China

Received date: 2025-09-17

  Revised date: 2025-11-12

  Accepted date: 2026-02-04

  Online published: 2026-02-27

Supported by

National Natural Science Foundation of China(62573232)

Abstract

A sensitive and robust controller is one of the core technologies for efficient and safe aerial docking. This study focuses on the rapid and precise docking control of a refueling system under complex airflow disturbances. A high-fidelity model of the system with gimbal composite hinge pairs is established. Building upon a controller composed of backstepping control and a sliding mode observer, the design incorporates considerations for embedded hardware transplantation factors, such as onboard models and filter design, thus realizing the design of an advanced aerial docking controller that is hardware-implementable. Finally, through ground simulation tests and wind tunnel flight tests, the dynamic response characteristics of the controller with onboard model dynamic feedback under the two types of test environments were comparatively analyzed. The results provide effective design references for the verification and development of similar advanced controllers. Furthermore, a comparative analysis of the response differences in docking characteristics between a Proportional-Integral (PI) controller and the advanced disturbance-rejection controller under wind tunnel test conditions was conducted. This analysis indicates the significant advantages of the advanced disturbance-rejection controller in accomplishing the aerial docking mission of the refueling system.

Cite this article

Fei LUO , Biao JIANG , Yining GAO , Zhiyong HU , Hailiang LIU , Junhong ZHANG , Zikang SU . Design and wind tunnel test of an advanced controller for aerial refueling docking[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2026 , 47(11) : 332793 -332793 . DOI: 10.7527/S1000-6893.2026.32793

References

[1] CARTER R, KEETER T M, CALHOUN P. Airborne recovery of the X-61A gremlin unmanned aircraft[C]∥ AIAA Scitech 2024 Forum. Reston: AIAA, 2024.
[2] BAE Systems Future Aviation Concepts[EB/OL]. [2025-09-17], 2015.
[3] MILLER C. Nonlinear dynamic inversion baseline control law: Flight-test results for the full-scale advanced systems testbed F/A-18 airplane[C]∥AIAA Guidance, Navigation, and Control Conference. Reston: AIAA, 2011.
[4] 王海峰. 高性能协同作战无人机的发展与思考[J]. 航空学报202445(17): 530304.
  WANG H F. Development of high performance collaborative combat UAVs[J]. Acta Aeronautica et Astronautica Sinica202445(17): 530304 (in Chinese).
[5] 罗飞, 艾俊强, 胡志勇, 等. 飞行器对接技术的引导与控制: 现状与智能化展望[J]. 电光与控制202532(11): 62-70.
  LUO F, AI J Q, HU Z Y, et al. Guidance and control for aircraft docking technology: Status and intelligent development prospect[J]. Electronics Optics & Control202532(11): 62-70 (in Chinese).
[6] BURNS R, CLARK C, EWART R. The automated aerial refueling simulation at the AVTAS laboratory[C]∥AIAA Modeling and Simulation Technologies Conference and Exhibit. Reston: AIAA, 2005.
[7] MARTINEZ V, SANZ A, ASENSIO F, et al. Advanced refueling boom system (ARBS) automatic air to air refueling flight control laws[C]∥AIAA Scitech 2024 Forum. Reston: AIAA, 2024.
[8] 曹华姿, 郭有光, 王立新. 基于任务的硬式加油伸缩管操纵品质研究[J]. 航空学报201839(4): 121523.
  CAO H Z, GUO Y G, WANG L X. Handling qualities research of flying boom for air-to-air refueling based on mission-oriented method[J]. Acta Aeronautica et Astronautica Sinica201839(4): 121523 (in Chinese).
[9] WANG L X, YIN H P, GUO Y G, et al. Closed-loop motion characteristic requirements of receiver aircraft for probe and drogue aerial refueling[J]. Aerospace Science and Technology201993: 105293.
[10] 杨朝星, 刘洋洋, 陆宇平. 硬式加油装置的凯恩法建模与仿真研究[J]. 飞行力学201432(6): 518-522.
  YANG C X, LIU Y Y, LU Y P. Modeling and simulation for boom aerial refueling device using Kane method[J]. Flight Dynamics201432(6): 518-522 (in Chinese).
[11] 杨朝星, 刘洋洋, 陆宇平. 变质量分布硬式加油管建模与反演自适应控制[J]. 系统工程与电子技术201537(4): 911-917.
  YANG C /Z)X, LIU Y Y, LU Y P. Modeling and backstepping adaptive control of refueling boom with variable mass distribution[J]. Systems Engineering and Electronics201537(4): 911-917 (in Chinese).
[12] SU Z K, WANG H L, YAO P, et al. Back-stepping based anti-disturbance flight controller with preview methodology for autonomous aerial refueling[J]. Aerospace Science and Technology201761: 95-108.
[13] SU Z K, WANG H L, SHAO X L, et al. A robust back-stepping based trajectory tracking controller for the tanker with strict posture constraints under unknown flow perturbations[J]. Aerospace Science and Technology201656: 34-45.
[14] REN J R, QUAN Q, LIU C J, et al. Docking control for probe-drogue refueling: An additive-state-decomposition-based output feedback iterative learning control method[J]. Chinese Journal of Aeronautics202033(3): 1016-1025.
[15] DAI X H, QUAN Q, REN J R, et al. Terminal iterative learning control for autonomous aerial refueling under aerodynamic disturbances[J]. Journal of Guidance, Control, and Dynamics201841(7): 1577-1584.
[16] 罗飞, 高怡宁, 胡志勇, 等. 基于视觉定位的加油杆自主对接技术研究进展[J]. 飞行力学202543(1): 1-9, 18.
  LUO F, GAO Y N, HU Z Y, et al. Advances in the study of autonomous docking technology for flying boom based on visual positioning[J]. Flight Dynamics202543(1): 1-9, 18 (in Chinese).
[17] 刘延柱, 潘振宽, 戈新生. 多体系统动力学[M]. 2版. 北京: 高等教育出版社, 2014: 19-22.
  LIU Y Z, PAN Z K, GE X S. Dynamics of multibody systems[M]. 2nd ed. Beijing: Higher Education Press, 2014: 19-22 (in Chinese).
[18] 邹雨春, 陶呈纲, 甄子洋, 等. 基于直接力的飞翼布局舰载机精确着舰控制[J]. 航空学报202546(13): 531422.
  ZOU Y C, TAO C G, ZHEN Z Y, et al. Precision landing control based on direct force for flying-wing carrier-based aircraft[J]. Acta Aeronautica et Astronautica Sinica202546(13): 531422 (in Chinese).
[19] STAM N, DE VISSER C C. Adaptive dynamic incremental nonlinear control allocation for aircraft with innovative control effectors[C]∥AIAA Scitech 2025 Forum. Reston: AIAA, 2025.
[20] DE VISSER C C, POOL D M. Stalls and splines: current trends in flight testing and aerodynamic model identification[J]. Journal of Aircraft202360(5): 1480-1502.
[21] DE VISSER C, MULDER J, CHU Q. Global nonlinear aerodynamic model identification with multivariate splines[C]∥AIAA Atmospheric Flight Mechanics Conference. Reston: AIAA, 2009.
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