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An Input-Output Feedback Linearization-Based Exponentially Stable Controller for Multi-UAV Payload Transport

Rao, N and Sundaram, S (2024) An Input-Output Feedback Linearization-Based Exponentially Stable Controller for Multi-UAV Payload Transport. In: World Scientific .

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Official URL: https://doi.org/10.1142/S2301385025500311

Abstract

In this paper, an exponentially stable trajectory tracking controller is proposed for multi-UAV payload transport. The multi-UAV payload system has a 2-DOF magnetic spherical joint between the UAVs and the vertical rigid links of the payload frame so that the UAVs can roll or pitch freely. These vertical links are rigidly attached to the payload and cannot move. An input-output feedback linearized model is derived for the complete payload-UAV system along with thrust vectoring control for trajectory tracking of the payload. Theoretical analysis of tracking control laws is shown to be exponentially stable, thus guaranteeing safe transportation along the desired trajectory. To validate the performance of the proposed control law, the results for a numerical simulation as well as a high-fidelity Gazebo real-time simulation are presented. The tracking performance is compared to the existing techniques in the literature, and it is seen that the proposed approach has the least RMSE for tracking performance. Next, the robustness of the proposed controller is analyzed against two practical situations: External disturbance on the payload and payload mass uncertainty. The results clearly indicate that the proposed controller is robust and computationally efficient while achieving exponentially stable trajectory tracking. © World Scientific Publishing Company.

Item Type: Journal Article
Publication: World Scientific
Publisher: World Scientific
Additional Information: The copyright for this article belongs to Authors.
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited: 27 May 2024 05:43
Last Modified: 27 May 2024 05:43
URI: https://eprints.iisc.ac.in/id/eprint/85053

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