Predictive Energy Stability Margin: Prediction of Heavy Machine Overturning Considering Rotation and Translation

IF 5.3 2区 计算机科学 Q2 ROBOTICS IEEE Robotics and Automation Letters Pub Date : 2025-02-10 DOI:10.1109/LRA.2025.3540382
Mitsuhiro Kamezaki;Yuya Kokudo;Yusuke Uehara;Shunya Itano;Tatsuhito Iida;Shigeki Sugano
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Abstract

Fatal accidents caused by the overturning of heavy machines still happen, so the prediction and prevention of overturns are urgently needed. Indicators to evaluate overturn, such as the energy stability margin (ESM), have been proposed but are limited to a non-slip ground surface. Even if ESM is above zero, the machine may overturn due to additional manipulator operation or hitting an obstacle while sliding down a slope. This study thus proposes a predictive energy stability margin, ${\bm{p}}$-ESM, that focuses on kinetic energy in the translational and rotational directions for overturn prediction. Rotational kinetic energy ${{{\bm{E}}}_{\bm{R}}}$ accelerates overturning, and the translational kinetic energy ${{{\bm{E}}}_{\bm{T}}}$ in the slope direction is converted to ${{{\bm{E}}}_{\bm{R}}}$. Both are calculated from the mass and the position and acceleration of the center of gravity (COG) for each part of the machine. ESM ${\bm{U}}$ is defined as the difference between the height of COG just before overturn and the current height of the COG. Thus, ${\bm{p}}$-ESM is defined as ${\bm{U}}$ minus the sum of ${{{\bm{E}}}_{\bm{R}}}$ and ${{{\bm{E}}}_{\bm{T}}}$. We also developed an operation support system to limit the manipulator operation by using ${\bm{p}}$-ESM. The results of experiments using a hydraulically driven scale model (1/14) with different combinations of operations, loading weights, and ground surfaces confirmed that ${\bm{p}}$-ESM can predict overturns early and accurately, which conventional ESM cannot do. We also found that the support system using ${\bm{p}}$-ESM can prevent inappropriate operations and avoid overturns.
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预测能量稳定裕度:考虑旋转和平移的重型机械倾覆预测
重型机械翻倒造成的致命事故时有发生,因此对翻倒的预测和预防是迫切需要的。已经提出了评估倾覆的指标,如能量稳定裕度(ESM),但仅限于防滑地面。即使ESM大于零,机器也可能由于额外的机械手操作或在滑下斜坡时撞到障碍物而翻倒。因此,本研究提出了一个预测能量稳定边际${\bm{p}}$-ESM,该预测能量稳定边际以平动方向和旋转方向的动能为重点,用于倾覆预测。旋转动能${{\bm{E}}}_{\bm{R}}}$加速倾覆,斜率方向的平移动能${{\bm{E}} _{\bm{T}} $转化为${{\bm{E}}}_{\bm{R}} $。两者都是根据机器各部分的质量和重心(COG)的位置和加速度来计算的。ESM ${\bm{U}}$定义为刚倾覆前的COG高度与当前COG高度之差。因此,$ {\ bm p {}} $ esm被定义为$ {\ bm{你}}-之和美元{{{\ bm {E}}} _ {\ bm {R}}} $和$ {{{\ bm {E}}} _ {\ bm {T}}} $。我们还利用${\bm{p}}$-ESM开发了一个操作支撑系统来限制机械手的操作。采用水力驱动比例模型(1/14)进行不同操作、载荷、地表组合的试验结果证实,${\bm{p}}$-ESM能够较早、准确地预测倾覆,这是常规ESM无法做到的。我们还发现,使用${\bm{p}}$-ESM的支撑系统可以防止不当操作,避免倾覆。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
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