Full Body Motion Control for Aerial Manipulation Based on Critical Dynamic Constraints

This paper is concerned with the motion control problem of an aerial manipulator that consists of a quadrotor base and a manipulator. We propose a novel control strategy that incorporates a simplified model considering the critical dynamics, and a linear-MPC-based trajectory converter to ensure precise velocity tracking for the end-effector. The proposed method is a full-body control approach that coordinates both the quadrotor base and the manipulator, ensuring seamless motion execution across the entire system. Furthermore, the method requires only a small set of dynamic model parameters, making it easy to deploy in practice. The method is validated through motion response experiments on a custom-designed aerial manipulator platform. Experimental results show that the platform performs well in outdoor environments, and the control strategy effectively suppresses angular velocity disturbances while coordinating the full-body joints for end-effector motion tasks.

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Institutions

Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2025-03-06
DOI
https://doi.org/10.1109/lra.2025.3548506
Citations
2
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
2.55

Funders

Controls
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article

Full Body Motion Control for Aerial Manipulation Based on Critical Dynamic Constraints

Wei Meng, Zhenting Wen, Yufan Liu, Y.S. Liao et al.
2 citations
IEEE Robotics and Automation Letters
Robotic Path Planning Algorithms
2.55
article

Full Body Motion Control for Aerial Manipulation Based on Critical Dynamic Constraints

Wei Meng, Zhenting Wen, Yufan Liu, Y.S. Liao, Xuanhua Chen
article en
2 citations

Abstract

This paper is concerned with the motion control problem of an aerial manipulator that consists of a quadrotor base and a manipulator. We propose a novel control strategy that incorporates a simplified model considering the critical dynamics, and a linear-MPC-based trajectory converter to ensure precise velocity tracking for the end-effector. The proposed method is a full-body control approach that coordinates both the quadrotor base and the manipulator, ensuring seamless motion execution across the entire system. Furthermore, the method requires only a small set of dynamic model parameters, making it easy to deploy in practice. The method is validated through motion response experiments on a custom-designed aerial manipulator platform. Experimental results show that the platform performs well in outdoor environments, and the control strategy effectively suppresses angular velocity disturbances while coordinating the full-body joints for end-effector motion tasks.

IEEE Robotics and Automation LettersVol. 10(5)
Guangdong University of Technology (CN), Northeastern University (CN)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 12%
Robotic Path Planning Algorithms
2.55
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