Constraint-Aware Payload Layer Fusion Control for Dual-Quadrotor Cooperative Slung-Load Transportation

Low altitude logistics and aerial transport increasingly rely on multirotor unmanned aerial vehicles (UAVs) carrying slung payloads, where cable flexibility and load swing can degrade safety and delivery accuracy. This paper studies payload trajectory tracking for a dual-quadrotor cooperative slung-load system, targeting accurate tracking with swing suppression under thrust, attitude, and cable-tension limits. First, a payload-layer dynamic model is derived from d’Alembert’s principle with geometric cable constraints, and explicit tension reconstruction formulas are provided to enable direct enforcement of tension bounds. Building on this model, a payload-layer DEA nominal tracking controller is designed by applying dynamic extension to the tension-scalar channels and enforcing output-level linear error dynamics. To ensure real-time feasibility, a convex quadratic-programming (QP) projection layer minimally corrects the nominal command to satisfy thrust saturation, attitude-cone constraints, and cable-tension bounds. Moreover, an adaptive tuning control layer updates the DEA feedback gain and the projection weighting matrix within preset constraint limits based on energy residual and constraint-activation information, improving robustness and reducing manual tuning. Input-to-state stability is established under bounded disturbances and constraint-activation switching via a composite Lyapunov analysis. ROS–PX4–Gazebo simulations show low tracking error, suppressed swing, and sustained tension-limit compliance, validating the fusion controller.

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Publication Details

Journal
Aerospace
Published
2026-03-08
DOI
https://doi.org/10.3390/aerospace13030250
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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article

Constraint-Aware Payload Layer Fusion Control for Dual-Quadrotor Cooperative Slung-Load Transportation

Sisi Tang, Wei Tan, Xiong Wang, Hongqiang Zhang et al.
Aerospace
Adaptive Control of Nonlinear Systems
article

Constraint-Aware Payload Layer Fusion Control for Dual-Quadrotor Cooperative Slung-Load Transportation

Sisi Tang, Wei Tan, Xiong Wang, Hongqiang Zhang, Junwen Zeng, Pengliang Zhao, Xing Wang, Xi Wang
article en

Abstract

Low altitude logistics and aerial transport increasingly rely on multirotor unmanned aerial vehicles (UAVs) carrying slung payloads, where cable flexibility and load swing can degrade safety and delivery accuracy. This paper studies payload trajectory tracking for a dual-quadrotor cooperative slung-load system, targeting accurate tracking with swing suppression under thrust, attitude, and cable-tension limits. First, a payload-layer dynamic model is derived from d’Alembert’s principle with geometric cable constraints, and explicit tension reconstruction formulas are provided to enable direct enforcement of tension bounds. Building on this model, a payload-layer DEA nominal tracking controller is designed by applying dynamic extension to the tension-scalar channels and enforcing output-level linear error dynamics. To ensure real-time feasibility, a convex quadratic-programming (QP) projection layer minimally corrects the nominal command to satisfy thrust saturation, attitude-cone constraints, and cable-tension bounds. Moreover, an adaptive tuning control layer updates the DEA feedback gain and the projection weighting matrix within preset constraint limits based on energy residual and constraint-activation information, improving robustness and reducing manual tuning. Input-to-state stability is established under bounded disturbances and constraint-activation switching via a composite Lyapunov analysis. ROS–PX4–Gazebo simulations show low tracking error, suppressed swing, and sustained tension-limit compliance, validating the fusion controller.

AerospaceVol. 13(3)
Hunan University of Science and Technology (CN), Hunan University (CN), Sanya University (CN)
Affordable and clean energy
Openalex Percentile: Top 32%
Adaptive Control of Nonlinear Systems
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