Robotics & Machine Learning Daily News2024,Issue(Dec.5) :88-88.

Investigators at University of Science and Technology China Report Findings in F ield Robotics (Internal Model-based Anti-disturbances Low-level Control for Dron es Considering Actuator Dynamics)

中国科技大学的研究人员报告了Field Robotics(考虑执行器动力学的Dron ES基于内部模型的抗干扰低级控制)的发现

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :88-88.

Investigators at University of Science and Technology China Report Findings in F ield Robotics (Internal Model-based Anti-disturbances Low-level Control for Dron es Considering Actuator Dynamics)

中国科技大学的研究人员报告了Field Robotics(考虑执行器动力学的Dron ES基于内部模型的抗干扰低级控制)的发现

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于机器人-现场机器人的新报告。据新闻报道来自中国合肥的报道,由NewsRx记者报道,研究称,“低空控制对无人机的总体飞行性能起着关键作用。尽管取得了一些进展,”现有方法没有充分考虑执行器复杂的机电特性以及Propelle RS的空气动力学干扰,这恶化了低级控制性能。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics - Field Robotics. According to newsreporting originating from Hefei, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“Low-level c ontrol plays a critical role in the overall flight performance of drones. Despit e some progress,existing methods do not adequately consider the complex electro mechanical characteristics of actuatorsand aerodynamic disturbances of propelle rs, which deteriorates low-level control performance.”

Key words

Hefei/People’s Republic of China/Asia/Field Robotics/Robotics/University of Science and Technology China

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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