Abstract
Aerial systems assembled from multiple modules have the potential to perform tasks that are difficult for traditional aerial vehicles. In this work, we propose a novel aerial system, Carpet, which is composed by a matrix of quadrotor modules. In Carpet, a column of quadrotor modules connects to the neighbouring column via revolute joints. By adjusting the joint angles, Carpet is capable of working in flight mode and terrestrial mode. This is the first time that UAV assembly with this configuration is analyzed. The terrestrial mode could potentially increase the energy efficiency of aerial systems. While in flight mode, Carpet can fold up or expand to adapt to different tasks or environments, e.g., curling up to U form can make it more compact and agile when passing through narrow channels. The dynamics of Carpet is investigated. It is found that the entire Carpet in flight mode can produce 5D force/torque, and the joints connecting columns do not need extra actuators. The differential flatness of Carpet is analyzed. The motion controller and the trajectory generator are designed based on the differential flatness. The proposed trajectory planning method is able to guide Carpet to pass through narrow corridors. Numerical simulations are presented, illustrating the feasibility of the proposed Carpet.
Supported by the National Natural Science Foundation of China under Grant 62173037, National Key R. D. Program of China, and State Key Laboratory of Robotics and Systems (HIT).
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Sun, J., Yu, Y., Xu, B. (2023). Towards Flying Carpet: Dynamics Modeling, and Differential-Flatness-Based Control and Planning. In: Sun, F., Cangelosi, A., Zhang, J., Yu, Y., Liu, H., Fang, B. (eds) Cognitive Systems and Information Processing. ICCSIP 2022. Communications in Computer and Information Science, vol 1787. Springer, Singapore. https://doi.org/10.1007/978-981-99-0617-8_24
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DOI: https://doi.org/10.1007/978-981-99-0617-8_24
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