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Predictive Model for Temperature-Induced Deformation of Robot Mechanical Systems.

机译:机器人机械系统的温度引起的变形的预测模型。

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摘要

The positioning accuracy and repeatability of a robot are critical for many industrial applications. Drift in repeatability can occur with changes in environmental and internal conditions, such as those seen with temperature-induced deformation. Thermal instability causes dimensional deformation, and a warm-up cycle is typically required to bring the robot to a thermally stable working condition. The elimination of warm-up cycles will ultimately enhance the positioning accuracy of the robots, their productivity, and reduce unnecessary energy consumption. The main objective of this research was to develop a robot controller algorithm that would provide, a priori, compensation for temperature-induced deformation associated with warm-up in robot mechanical systems. The research started at the fundamental stage of gaining insight into the thermal behaviour and corresponding temperature-induced deformation of simplified, i.e., one-dimensional, robot mechanical systems consisting of slender links and heat sources. The systems were studied using concomitant experimental, numerical and analytical models to provide cross-checking of the results. For the experimental model, the deformation was measured by tracking the drift of a laser diode spot across a charge-coupled device (CCD) camera chip. A non-contact measurement system consisting of an infrared camera, a CCD camera and a laser diode was developed to provide high accuracy measurement for the deformation. The numerical model was generated with a coupled thermal-mechanical finite element analysis incorporating thermal effects due to conduction and convection. The models were tested with the analytical model that was further extended using a finite difference technique. Once the three models showed excellent agreement, it was possible to develop a controller algorithm. Deformations predicted by the finite difference model were used as input for a validation experiment of the compensation algorithm. Results of the validation experiment confirmed that temperature-induced deformation of the simplified robot mechanical system can be accurately compensated for using a simple algorithm implemented in a robot controller.
机译:机器人的定位精度和可重复性对于许多工业应用至关重要。可重复性的漂移会随着环境和内部条件的变化而发生,例如在温度引起的变形中所见的情况。热不稳定性会导致尺寸变形,通常需要进行预热周期才能使机器人进入热稳定的工作状态。消除预热周期将最终提高机器人的定位精度,生产率,并减少不必要的能耗。这项研究的主要目的是开发一种机器人控制器算法,该算法将为与机器人机械系统预热相关的温度引起的变形提供先验补偿。该研究从基本阶段开始,深入了解简化的,即由细长链节和热源组成的一维机器人机械系统的热行为以及相应的温度引起的变形。使用伴随的实验,数值和分析模型对系统进行了研究,以对结果进行交叉检验。对于实验模型,通过跟踪整个电荷耦合器件(CCD)相机芯片上激光二极管光斑的漂移来测量变形。开发了由红外摄像机,CCD摄像机和激光二极管组成的非接触式测量系统,以提供用于变形的高精度测量。数值模型是通过热机械耦合有限元分析生成的,其中包含了由于传导和对流引起的热效应。使用解析模型对模型进行了测试,然后使用有限差分技术进一步扩展了解析模型。一旦这三个模型显示出极好的一致性,就有可能开发一种控制器算法。由有限差分模型预测的变形被用作补偿算法验证实验的输入。验证实验的结果证实,使用在机器人控制器中执行的简单算法,可以精确补偿简化的机器人机械系统的温度引起的变形。

著录项

  • 作者

    Poonyapak, Pranchalee.;

  • 作者单位

    Carleton University (Canada).;

  • 授予单位 Carleton University (Canada).;
  • 学科 Engineering Mechanical.;Engineering Materials Science.;Engineering Robotics.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 193 p.
  • 总页数 193
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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