首页|Studies from Harbin Institute of Technology Reveal New Findings on Robotics (Des ign and Optimization of UAV Aerial Recovery System Based on Cable-Driven Paralle l Robot)
Studies from Harbin Institute of Technology Reveal New Findings on Robotics (Des ign and Optimization of UAV Aerial Recovery System Based on Cable-Driven Paralle l Robot)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in robotics. According to news reporting out of Harbin, People's Republic of China, by NewsRx editors, research stated, "Aerial recovery and redeployment can effec tively increase the operating radius and the endurance of unmanned aerial vehicl es (UAVs)." Funders for this research include Foundation of Chinese State Key Laboratory of Robotics And Systems. The news journalists obtained a quote from the research from Harbin Institute of Technology: "However, the challenge lies in the effect of the aerodynamic force on the recovery system, and the existing roadbased and sea-based UAV recovery methods are no longer applicable. Inspired by the predatory behavior of net-cast ing spiders, this study introduces a cable-driven parallel robot (CDPR) for UAV aerial recovery, which utilizes an end-effector camera to detect the UAV's fligh t trajectory, and the CDPR dynamically adjusts its spatial position to intercept and recover the UAV. This paper establishes a comprehensive cable model, simult aneously considering the elasticity, mass, and aerodynamic force, and the static equilibrium equation for the CDPR is derived. The effects of the aerodynamic fo rce and cable tension on the spatial configuration of the cable are analyzed. Nu merical computations yield the CDPR's end-effector position error and cable-driv en power consumption at discrete spatial points, and the results show that the p osition error decreases but the power consumption increases with the increase in the cable tension lower limit (CTLL). To improve the comprehensive performance of the recovery system, a multi-objective optimization method is proposed, consi dering the error distribution, power consumption distribution, and safety distan ce."
Harbin Institute of TechnologyHarbinPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRobotics
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