Pend-Copter: A High-Stability Vector-Thrust Bicopter UAV Driven by Torque Pendulum

Bicopter uncrewed aerial vehicles (UAVs), which have attracted increasing attention due to their compact size and high efficiency, most commonly adopt the vector-thrust configuration. For such a design, the height difference between the vector-thrust tilting axis and the center of gravity (CoG) leads to undesirable nonminimum phase nature, attitude response lag, and inadequate stability. To address these open challenges, this article develops a novel vector-thrust bicopter UAV, namely, Pend-Copter, driven by the animal-tail-inspired reaction torque pendulum. In particular, a reaction torque pendulum is introduced for UAV attitude control for the first time, eliminating nonminimum phase characteristics by aligning the vector tilting axis center, the pendulum pivot, and the airframe’s CoG. Furthermore, within the nonlinear model predictive control framework, decoupled control of longitudinal position and pitch attitude was achieved using vector thrust and the torque pendulum, respectively. This enables the Pend-Copter to maintain attitude stability during external disturbances or large-scale positional maneuvers. In the pendulum system, the original power battery was utilized directly as the counterweight to minimize additional weight; a brushless servo motor, with no reduction gear and near-zero resistance torque, functioned as the pendulum actuator to provide a more accurate pitch moment. Flight test results demonstrate that the proposed torque-pendulum control method significantly outperforms the conventional vector-thrust control scheme in terms of attitude stability, disturbance rejection, and trajectory tracking accuracy.

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Publication Details

Journal
IEEE/ASME Transactions on Mechatronics
Published
2025-08-25
DOI
https://doi.org/10.1109/tmech.2025.3596722
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

Pend-Copter: A High-Stability Vector-Thrust Bicopter UAV Driven by Torque Pendulum

Haoze Li, Daochun Li, Zhan Tu, Xin Dong et al.
IEEE/ASME Transactions on Mechatronics
Robotic Path Planning Algorithms
article

Pend-Copter: A High-Stability Vector-Thrust Bicopter UAV Driven by Torque Pendulum

Haoze Li, Daochun Li, Zhan Tu, Xin Dong, Jiahui Zhang, Wenjing Ren, Jinwu Xiang, Binqi Yang
article en

Abstract

Bicopter uncrewed aerial vehicles (UAVs), which have attracted increasing attention due to their compact size and high efficiency, most commonly adopt the vector-thrust configuration. For such a design, the height difference between the vector-thrust tilting axis and the center of gravity (CoG) leads to undesirable nonminimum phase nature, attitude response lag, and inadequate stability. To address these open challenges, this article develops a novel vector-thrust bicopter UAV, namely, Pend-Copter, driven by the animal-tail-inspired reaction torque pendulum. In particular, a reaction torque pendulum is introduced for UAV attitude control for the first time, eliminating nonminimum phase characteristics by aligning the vector tilting axis center, the pendulum pivot, and the airframe’s CoG. Furthermore, within the nonlinear model predictive control framework, decoupled control of longitudinal position and pitch attitude was achieved using vector thrust and the torque pendulum, respectively. This enables the Pend-Copter to maintain attitude stability during external disturbances or large-scale positional maneuvers. In the pendulum system, the original power battery was utilized directly as the counterweight to minimize additional weight; a brushless servo motor, with no reduction gear and near-zero resistance torque, functioned as the pendulum actuator to provide a more accurate pitch moment. Flight test results demonstrate that the proposed torque-pendulum control method significantly outperforms the conventional vector-thrust control scheme in terms of attitude stability, disturbance rejection, and trajectory tracking accuracy.

IEEE/ASME Transactions on MechatronicsVol. 31(1)
Zhejiang International Studies University (CN), Beihang University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 79%
Robotic Path Planning Algorithms
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