Preliminary Handling Qualities Recommendations for Autonomous H-Tail Flying Booms in Aerial Refueling

The handling qualities (HQ) of an H-tail flying boom directly affect the docking success rate in autonomous aerial refueling (AAR) missions. However, existing HQ criteria, established primarily based on manned operations, are difficult to apply directly to unmanned systems. To bridge this gap, this study first establishes a dynamic model of the H-tail boom in the boom-fixed coordinate system by simultaneously solving the equations of motion to eliminate universal joint constraint forces. Subsequently, representative AAR tasks for HQ assessment are devised, specifically tailored to the autonomous H-tail boom. In parallel, a comprehensive set of performance metrics is established to quantify HQ levels. Furthermore, two sets of closed-loop characteristic parameters—equivalent natural frequency and equivalent damping ratio, as well as bandwidth and phase—are proposed for HQ evaluation. Through extensive numerical simulations and quantitative evaluations, preliminary HQ level boundary recommendations are delineated across various parameter combinations. These findings provide technical references for attitude control law design, docking strategy optimization, and flight testing protocols of the autonomous H-tail refueling boom.

Authors

Institutions

Publication Details

Journal
Journal of Guidance Control and Dynamics
Published
2026-11-09
DOI
https://doi.org/10.2514/1.g010176
Primary Topic
Aerospace Engineering and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Preliminary Handling Qualities Recommendations for Autonomous H-Tail Flying Booms in Aerial Refueling

Hailiang Liu, Shang Tai, Lixin Wang, Hong Wang et al.
Journal of Guidance Control and Dynamics
Aerospace Engineering and Control Systems
article

Preliminary Handling Qualities Recommendations for Autonomous H-Tail Flying Booms in Aerial Refueling

Hailiang Liu, Shang Tai, Lixin Wang, Hong Wang, Fei Luo, Biao Jiang
article en

Abstract

The handling qualities (HQ) of an H-tail flying boom directly affect the docking success rate in autonomous aerial refueling (AAR) missions. However, existing HQ criteria, established primarily based on manned operations, are difficult to apply directly to unmanned systems. To bridge this gap, this study first establishes a dynamic model of the H-tail boom in the boom-fixed coordinate system by simultaneously solving the equations of motion to eliminate universal joint constraint forces. Subsequently, representative AAR tasks for HQ assessment are devised, specifically tailored to the autonomous H-tail boom. In parallel, a comprehensive set of performance metrics is established to quantify HQ levels. Furthermore, two sets of closed-loop characteristic parameters—equivalent natural frequency and equivalent damping ratio, as well as bandwidth and phase—are proposed for HQ evaluation. Through extensive numerical simulations and quantitative evaluations, preliminary HQ level boundary recommendations are delineated across various parameter combinations. These findings provide technical references for attitude control law design, docking strategy optimization, and flight testing protocols of the autonomous H-tail refueling boom.

Journal of Guidance Control and Dynamics
Beihang University (CN)
Aerospace Engineering and Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon