Aerial assistive payload transportation using quadrotor UAVs with nonsingular fast terminal SMC for human physical interaction

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY Results in Engineering Pub Date : 2025-03-01 Epub Date: 2024-12-12 DOI:10.1016/j.rineng.2024.103701
Hussein N. Naser, Hashim A. Hashim, Mojtaba Ahmadi
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Abstract

This paper presents a novel approach to utilizing underactuated quadrotor Unmanned Aerial Vehicles (UAVs) as assistive devices in cooperative payload transportation task through human guidance and physical interaction. The proposed system consists of two underactuated UAVs rigidly connected to the transported payload. This task involves the collaboration between human and UAVs to transport and manipulate a payload. The goal is to reduce the workload of the human and enable seamless interaction between the human operator and the aerial vehicle. An Admittance-Nonsingular Fast Terminal Sliding Mode Control (NFTSMC) is employed to control and asymptotically stabilize the system while performing the task, where forces are applied to the payload by the human operator dictate the aerial vehicle's motion. The stability of the proposed controller is confirmed using Lyapunov analysis. Extensive simulation studies were conducted using MATLAB, Robot Operating System (ROS), and Gazebo to validate robustness and effectiveness of the proposed controller in assisting with payload transportation tasks. Results demonstrate feasibility and potential benefits utilizing quadrotor UAVs as assistive devices for payload transportation through intuitive human-guided control.
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基于非奇异快速终端SMC的四旋翼无人机空中辅助载荷运输
提出了一种利用欠驱动四旋翼无人机(uav)作为辅助设备,通过人的引导和物理交互完成协同载荷运输任务的新方法。所提出的系统由两个欠驱动的无人机刚性连接到运输的有效载荷。这项任务涉及人类和无人机之间的协作,以运输和操纵有效载荷。目标是减少人类的工作量,实现人类操作员和飞行器之间的无缝交互。在执行任务时,采用导纳-非奇异快速终端滑模控制(NFTSMC)来控制和渐近稳定系统,其中由操作员向有效载荷施加力来决定飞行器的运动。利用李雅普诺夫分析验证了所提控制器的稳定性。利用MATLAB、机器人操作系统(ROS)和Gazebo进行了广泛的仿真研究,以验证所提出的控制器在协助有效载荷运输任务方面的鲁棒性和有效性。结果表明,利用四旋翼无人机作为辅助设备,通过直观的人工制导控制进行有效载荷运输的可行性和潜在效益。
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来源期刊
Results in Engineering
Results in Engineering Engineering-Engineering (all)
CiteScore
5.80
自引率
34.00%
发文量
441
审稿时长
47 days
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