Robotics & Machine Learning Daily News2024,Issue(Jun.4) :108-108.

Researcher from Tallinn University of Technology Describes Findings in Robotics (Condition Monitoring of a Cartesian Robot with a Mechanically Damaged Gear to C reate a Fuzzy Logic Control and Diagnosis Algorithm)

塔林理工大学的研究人员描述了机器人学的发现(对齿轮机械损坏的笛卡尔机器人进行状态监测以产生模糊逻辑控制和诊断算法)

Robotics & Machine Learning Daily News2024,Issue(Jun.4) :108-108.

Researcher from Tallinn University of Technology Describes Findings in Robotics (Condition Monitoring of a Cartesian Robot with a Mechanically Damaged Gear to C reate a Fuzzy Logic Control and Diagnosis Algorithm)

塔林理工大学的研究人员描述了机器人学的发现(对齿轮机械损坏的笛卡尔机器人进行状态监测以产生模糊逻辑控制和诊断算法)

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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记者从爱沙尼亚塔林进行的新闻报道,研究表明,"在开发控制系统以监测工业机制结构的框架内,检测操作过程中的故障构成了一个核心目标"。我们的新闻记者从塔林理工大学的研究中获得了一句话:“即使是微小的故障也会引起需要迅速解决的重大后果。本研究了齿带传动中的过张力和螺杆传动蜗杆的加热对机器人系统振动信号的影响。利用FFT技术,识别出了与不同故障相关的不同频率特性,齿带传动的过张力引起局部振荡,通过控制加减速速度来解决;螺杆传动蜗杆的加热引起大范围扰动,影响伺服应力和定位精度。提出了一种基于谱分析的模糊逻辑自适应控制算法,综合考虑振动频率和振幅。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on robotics. Acc ording to news reporting from Tallinn, Estonia, by NewsRx journalists, research stated, “The detection of faults during an operational process constitutes a cru cial objective within the framework of developing a control system to monitor th e structure of industrial mechanisms.” Our news reporters obtained a quote from the research from Tallinn University of Technology: “Even minor faults can give rise to significant consequences that r equire swift resolution. This research investigates the impact of overtension in the tooth belt transmission and heating of the screw transmission worm on the v ibration signals in a robotic system. Utilizing FFT techniques, distinct frequen cy characteristics associated with different faults were identified. Overtension in the tooth belt transmission caused localized oscillations, addressed by adju sting the acceleration and deceleration speeds. Heating of the screw transmissio n worm led to widespread disturbances affecting servo stress and positioning acc uracy. A fuzzy logic algorithm based on spectral analysis was proposed for adapt ive control, considering the vibration’s frequency and amplitude.”

Key words

Tallinn University of Technology/Tallin n/Estonia/Europe/Algorithms/Emerging Technologies/Fuzzy Logic/Machine Lear ning/Robot/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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