Robust Cooperative Control of Quadrotor Cooperative Transportation System via Time-Varying Disturbance Estimatio

Controlling a cooperative transportation system transporting a cable-suspended payload is challenging due to highly coupled dynamics and unpredictable disturbances. In this paper, a novel time-varying uncertainty and disturbance estimator (TV-UDE) is introduced to estimate and compensate for disturbances in real time dynamically. Unlike conventional fixed-gain UDE observers, the proposed TV-UDE method smoothly adjusts its gain over time: starting large to mitigate transient spikes and increasing to a small gain for accurate steady-state disturbance rejection. This strategy enhances robustness and stability by avoiding the peaking phenomenon associated with high-gain estimators. The asymptotic stability of the overall system is proved by the Lyapunov method. Finally, the feasibility of the proposed methodology is demonstrated through simulations.

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Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1109/icca65672.2025.11129820
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Robust Cooperative Control of Quadrotor Cooperative Transportation System via Time-Varying Disturbance Estimatio

Tieshan Li, Jinliang Shao, Yang Zhu, Qiang Liu et al.
Frequency Control in Power Systems
article

Robust Cooperative Control of Quadrotor Cooperative Transportation System via Time-Varying Disturbance Estimatio

Tieshan Li, Jinliang Shao, Yang Zhu, Qiang Liu, Shao Chuen Tong
article en

Abstract

Controlling a cooperative transportation system transporting a cable-suspended payload is challenging due to highly coupled dynamics and unpredictable disturbances. In this paper, a novel time-varying uncertainty and disturbance estimator (TV-UDE) is introduced to estimate and compensate for disturbances in real time dynamically. Unlike conventional fixed-gain UDE observers, the proposed TV-UDE method smoothly adjusts its gain over time: starting large to mitigate transient spikes and increasing to a small gain for accurate steady-state disturbance rejection. This strategy enhances robustness and stability by avoiding the peaking phenomenon associated with high-gain estimators. The asymptotic stability of the overall system is proved by the Lyapunov method. Finally, the feasibility of the proposed methodology is demonstrated through simulations.

University of Electronic Science and Technology of China (CN), Southwest Jiaotong University (CN), Nanjing University of Aeronautics and Astronautics (CN)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 78%
Frequency Control in Power Systems
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