Robotics & Machine Learning Daily News2024,Issue(Jun.27) :136-136.

Studies from Federal University Add New Findings in the Area of Robotics (Dynami cs analysis and chatter control of a polishing and milling nonideal flexible man ipulator)

来自联邦大学的研究增加了机器人领域的新发现(抛光和铣削非理想柔性机械的动态分析和颤振控制)

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :136-136.

Studies from Federal University Add New Findings in the Area of Robotics (Dynami cs analysis and chatter control of a polishing and milling nonideal flexible man ipulator)

来自联邦大学的研究增加了机器人领域的新发现(抛光和铣削非理想柔性机械的动态分析和颤振控制)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于机器人的新报告。根据NewsRx C或受访者来自巴西帕拉纳的新闻报道,研究表明,"一些机器人被设计成轻量级和灵活性,使他们能够在各种应用中访问小型和具有挑战性的路径。"新闻编辑们引用了美国联邦大学的一篇研究文章:“这些特性使机器人能够与人类合作完成特定的生产任务。然而,柔性机械手在处理工件上的刀具时,会产生自激运动,从而导致控制问题。本文提出了一种带旋转刀具的轻型机器人MANIP控制器的控制方案。”本文首先描述了非理想柔性抛铣机械手的控制方程,并分析了其动态特性,最后给出了控制离散化方法,以便于将其集成到数字控制器中。使用形状记忆合金和称为离散状态相关Riccati方程的次优控制方案,建立了仅直流电机驱动器和混合(形状记忆合金和直流电机)驱动器控制器的模型。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news reporting originating from Parana, Brazil, by NewsRx c orrespondents, research stated, “Some robots are designed to be lightweight and flexible, enabling them to access small and challenging paths in various applica tions.” The news editors obtained a quote from the research from Federal University: “Th ese features enable robots to collaborate with humans in performing specific pro duction tasks. However,the movement of the flexible manipulator can become self- excited when handling a cutting tool on a workpiece, which can lead to a control problem. This article presents a control solution for lightweight robotic manip ulators with rotating tools, such as polishing and milling, using smart actuator s. The control discretization method is also introduced to facilitate integratio n into digital controllers. The paper starts by describing the governing equatio ns of the non-ideal flexible manipulator for polishing and milling and analysing its dynamic behavior. Subsequently, models for the controllers of the DC motor- only actuators and the hybrid (shape memory alloy and DC motors) actuators were formulated using shape memory alloy and a suboptimal control scheme known as the discrete state-dependent Riccati equation.”

Key words

Federal University/Parana/Brazil/Sout h America/Emerging Technologies/Machine Learning/Nano-robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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