2022
DOI: 10.3390/machines10111021
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A Trajectory Tracking Approach for Aerial Manipulators Using Nonsingular Global Fast Terminal Sliding Mode and an RBF Neural Network

Abstract: An unmanned aerial manipulator (UAM) is a novel flying robot consisting of an unmanned aerial vehicle (UAV) and a multi-degree-of-freedom (DoF) robotic arm. It can actively interact with the environment to conduct dangerous or inaccessible tasks for humans. Owing to the underactuated characteristics of UAVs and the coupling generated by the rigid connection with the manipulator, robustness and a high-precision controller are critical for UAMs. In this paper, we propose a nonsingular global fast terminal slidin… Show more

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Cited by 5 publications
(1 citation statement)
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References 26 publications
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“…Therefore, adaptive global sliding-mode controls have been developed [15], [16]. Global sliding-mode controls can cancel not only the reaching mode but also reduce the chattering and overcome the disturbance and time delay; hence, some control strategies have been proposed and successfully applied for quadrotor trajectory tracking [17], [18], [19]. Furthermore, to enhance the overall tracking performance, an improved fast global SMC was designed to reach linear sliding mode in a finite time [20].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, adaptive global sliding-mode controls have been developed [15], [16]. Global sliding-mode controls can cancel not only the reaching mode but also reduce the chattering and overcome the disturbance and time delay; hence, some control strategies have been proposed and successfully applied for quadrotor trajectory tracking [17], [18], [19]. Furthermore, to enhance the overall tracking performance, an improved fast global SMC was designed to reach linear sliding mode in a finite time [20].…”
Section: Introductionmentioning
confidence: 99%