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Accuracy improvement of a hybrid robot for ITER application using POE modeling method

机译:使用POE建模方法提高ITER应用的混合机器人的精度

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摘要

This paper focuses on the kinematic calibration of a 10 degree-of-freedom (DOF) redundant serial-parallel hybrid robot to improve its accuracy. The robot was designed to perform the assembling and repairing tasks of the vacuum vessel (VV) of the international thermonuclear experimental reactor (ITER). By employing the product of exponentials (POEs) formula, we extended the POE-based calibration method from serial robot to redundant serial-parallel hybrid robot. The proposed method combines the forward and inverse kinematics together to formulate a hybrid calibration method for serial-parallel hybrid robot. Because of the high nonlinear characteristics of the error model and too many error parameters need to be identified, the traditional iterative linear least-square algorithms cannot be used to identify the parameter errors. This paper employs a global optimization algorithm, Differential Evolution (DE), to identify parameter errors by solving the inverse kinematics of the hybrid robot. Furthermore, after the parameter errors were identified, the DE algorithm was adopted to numerically solve the forward kinematics of the hybrid robot to demonstrate the accuracy improvement of the end-effector. Numerical simulations were carried out by generating random parameter errors at the allowed tolerance limit and generating a number of configuration poses in the robot workspace. Simulation of the real experimental conditions shows that the accuracy of the end-effector can be improved to the same precision level of the given external measurement device.
机译:本文着重于10自由度(DOF)冗余串并联混合机器人的运动学校准,以提高其精度。该机器人旨在执行国际热核实验反应堆(ITER)的真空容器(VV)的组装和维修任务。通过采用指数乘积(POE)公式,我们将基于POE的校准方法从串行机器人扩展到冗余串行并行混合机器人。所提出的方法将正向运动学和逆向运动学结合在一起,从而提出了一种用于串并联混合机器人的混合校准方法。由于误差模型具有很高的非线性特性,并且需要识别太多的误差参数,因此传统的迭代线性最小二乘算法无法用于识别参数误差。本文采用全局优化算法微分进化(DE),通过解决混合机器人的逆运动学来识别参数错误。此外,在识别出参数误差后,采用DE算法对混合机器人的正向运动学进行数值求解,以证明末端执行器的精度提高。通过在允许的公差极限处生成随机参数误差并在机器人工作空间中生成许多配置姿态来进行数值模拟。实际实验条件的仿真表明,可以将末端执行器的精度提高到与给定外部测量设备相同的精度水平。

著录项

  • 来源
    《Fusion Engineering and Design》 |2013年第10期|1877-1880|共4页
  • 作者单位

    Laboratory of Intelligent Machines, Lappeenranta University of Technology, FIN-53851 Lappeenranta, Finland;

    Laboratory of Intelligent Machines, Lappeenranta University of Technology, FIN-53851 Lappeenranta, Finland;

    Laboratory of Intelligent Machines, Lappeenranta University of Technology, FIN-53851 Lappeenranta, Finland;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    ITER; Accuracy; Differential Evolution; Hybrid robot; Product of exponentials (POEs);

    机译:ITER;准确性;差异演化;混合机器人指数乘积(POE);

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