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Roundness error compensation in lathe turning through 2-D ARMAX model based FCC

机译:基于二维ARMAX模型的FCC车床车削圆度误差补偿

摘要

This paper describes the design, simulation, and implementation of a two-dimensional (2-D) exogenous autoregressive moving average (ARMAX) model-based forecasting compensatory control (FCC) system for a lathe turning machine. The 2-D ARMAX model is used to represent the relative motion errors between the workpiece and the cutting tool in the longitudinal and radial directions. Here, the formulation of recursive ARMAX models is necessary to account for the variation of the cutting force, which is the exogenous input to this process. The parameters are estimated online by means of the recursive extended least square (RELS) method. The predicted motion errors, which will adversely affect the workpiece roundness, are compensated by means of a two-axis piezoactuator. An offiine simulation model has been developed to find the most suitable model order and parameters. The application of the proposed system to both simulated and actual cutting data has confirmed the effectiveness of the proposed strategy. Experiments revealed that the maximum roundness improvement achieved could be as high as 66% while the average roundness improvement is found to be 52%, which proved the effectiveness of the proposed FCC system.
机译:本文介绍了基于二维(2-D)外源自回归移动平均(ARMAX)模型的车床预测补偿控制(FCC)系统的设计,仿真和实现。 2-D ARMAX模型用于表示工件和切削刀具在纵向和径向方向上的相对运动误差。在这里,递归ARMAX模型的制定对于解决切削力的变化是必要的,切削力的变化是该过程的外来输入。通过递归扩展最小二乘(RELS)方法在线估计参数。预测的运动误差将对工件的圆度产生不利影响,该误差可通过两轴压电致动器来补偿。已经开发了一个非精确的仿真模型,以找到最合适的模型顺序和参数。所提出的系统在模拟和实际切削数据上的应用已经证实了所提出策略的有效性。实验表明,所实现的最大圆度改善率可高达66%,而平均圆度改善率可达到52%,这证明了所提出的FCC系统的有效性。

著录项

  • 作者

    Fung EHK; Leung SKS;

  • 作者单位
  • 年度 2002
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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