Attitude Dynamics and Agile Control of a High-Mass-Ratio Moving-Mass Coaxial Dual-Rotor UAV

This study presents the configuration design and attitude control of a moving-mass coaxial dual-rotor UAV (MMCDRUAV) for indoor applications. Compared with existing configurations, the proposed configuration avoids additional actuation mass and improves the control authority. Based on these improvements, a promising micro UAV platform with a high payload ability for agile indoor flight could be developed. Ground validation tests demonstrated its maneuverability, as provided by a moving-mass control (MMC) module requiring only the repositioning of existing components (e.g., battery packs) as movable masses. For trajectory tracking, an adaptive backstepping active disturbance rejection controller (ADRC) is proposed. The architecture integrates extended-state observers (ESOs) for disturbance estimation, parameter-adaptation laws for uncertainty compensation, and auxiliary systems to address control saturation. Lyapunov stability analysis proved the existence of uniformly ultimately bounded (UUB) closed-loop tracking errors. The results of the ground verification experiment confirmed enhanced tracking performance under real-world disturbances.

Authors

Institutions

Publication Details

Journal
Drones
Published
2025-08-26
DOI
https://doi.org/10.3390/drones9090600
Citations
1
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Attitude Dynamics and Agile Control of a High-Mass-Ratio Moving-Mass Coaxial Dual-Rotor UAV

Jiahui Sun, Ke‐Shi Zhang, Qingfeng Du
1 citations
Drones
Adaptive Control of Nonlinear Systems
1.21
article

Attitude Dynamics and Agile Control of a High-Mass-Ratio Moving-Mass Coaxial Dual-Rotor UAV

Jiahui Sun, Ke‐Shi Zhang, Qingfeng Du
article en
1 citations

Abstract

This study presents the configuration design and attitude control of a moving-mass coaxial dual-rotor UAV (MMCDRUAV) for indoor applications. Compared with existing configurations, the proposed configuration avoids additional actuation mass and improves the control authority. Based on these improvements, a promising micro UAV platform with a high payload ability for agile indoor flight could be developed. Ground validation tests demonstrated its maneuverability, as provided by a moving-mass control (MMC) module requiring only the repositioning of existing components (e.g., battery packs) as movable masses. For trajectory tracking, an adaptive backstepping active disturbance rejection controller (ADRC) is proposed. The architecture integrates extended-state observers (ESOs) for disturbance estimation, parameter-adaptation laws for uncertainty compensation, and auxiliary systems to address control saturation. Lyapunov stability analysis proved the existence of uniformly ultimately bounded (UUB) closed-loop tracking errors. The results of the ground verification experiment confirmed enhanced tracking performance under real-world disturbances.

DronesVol. 9(9)
City University of Hong Kong (HK), Harbin Institute of Technology (CN), Zhengzhou University of Science and Technology (CN), Zhengzhou University of Industrial Technology (CN)
City University of Hong Kong, National Natural Science Foundation of China, State Key Laboratory of Robotics
Openalex Percentile: Top 17%
Adaptive Control of Nonlinear Systems
1.21
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.

Attitude Dynamics and Agile Control of a High-Mass-Ratio Moving-Mass Coaxial Dual-Rotor UAV — Jiahui Sun, Ke‐Shi Zhang, et al. · Drones (2025) | TGRS Research Map | TGRS