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Radial error feedback geometric adaptive control for bar turning in CNC turning centers.

机译:径向误差反馈几何自适应控制,用于数控车削中心中的棒料车削。

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摘要

In this research a new approach, radial error feedback geometric adaptive control (REFGAC), was proposed to overcome the problems in geometric adaptive control of CNC machines. First, a non-contact laser sensor was used to directly measure the radial error of the workpiece while it is being cut. The sensor is easy to install and calibrate. Accuracy analysis was performed to ensure that the sensor can maintain high accuracy in a rough cutting environment. Second, inspired by the open modular architecture control (OMAC) concept, the X axis controller is replaced by a generic PC. Due to the versatility of the PC, openness of the conventional CNC controller is greatly improved. Not only changing the cutting tool position in real-time becomes possible, but also different control strategies can be easily realized on the PC platform. Third, two modeling techniques, namely, analytical modeling (using classical beam vibration theories) and finite element modeling (FEM), were employed to develop simple models for bar turning process. The analytical modeling is only suitable for uniform bars while the FEM can be used for both uniform and non-uniform bars. The parameters in these models can easily be obtained. Finally, to compensate for the inherent measurement delay, Kalman filters for prediction together with PID control laws were designed based on these two models. Experimental results show that the radial error of the workpieces machined with REFGAC was reduced by 95%.
机译:在这项研究中,提出了一种新的方法,即径向误差反馈几何自适应控制(REFGAC),以克服数控机床的几何自适应控制中的问题。首先,使用非接触式激光传感器直接测量被切割工件的径向误差。该传感器易于安装和校准。进行准确性分析以确保传感器可以在粗加工环境中保持高精度。其次,受开放式模块化体系结构控制(OMAC)概念的启发,X轴控制器被通用PC取代。由于PC的多功能性,大大提高了常规CNC控制器的开放性。不仅可以实时更改刀具位置,而且可以在PC平台上轻松实现不同的控制策略。第三,采用两种建模技术,即分析建模(使用经典梁振动理论)和有限元建模(FEM),来开发用于车削过程的简单模型。分析模型仅适用于均匀钢筋,而FEM既可用于均匀钢筋也可用于非均匀钢筋。这些模型中的参数很容易获得。最后,为了补偿固有的测量延迟,基于这两个模型设计了用于预测的卡尔曼滤波器以及PID控制定律。实验结果表明,采用REFGAC加工的工件的径向误差降低了95%。

著录项

  • 作者

    Fan, Chun.;

  • 作者单位

    The Florida State University.;

  • 授予单位 The Florida State University.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 146 p.
  • 总页数 146
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

  • 入库时间 2022-08-17 11:47:53

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