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An Implement of FPGA Based PCI Controller Device and Improvement of DDA Arc Interpolation

Author

Listed:
  • Zhengjie Zhang
  • Zhandong Yu

Abstract

The main purpose of this paper is to develop a new kind of PCI slave device serving as a motion controller for a biaxial motion control system. This kind of controller device is a new realization scheme of PCI devices, which is embedded with a deeply customized PCI interface block instead of traditional PCI interface chips, which will greatly promote the comprehensive performance of the device. Besides, we improved the popular and widely used DDA arc interpolation algorithm, promoting its performance in both accuracy and stability, and integrated it into our device, allowing the ability of the moving parts to move along nonlinear curve paths. Currently, this kind of controller device has been successfully applied on a surface mount machine which is also developed by our lab. As a result, the controller device performs well and is able to satisfy the requirement of accuracy and velocity of the surface mount machine. And its reliability and stability are also remarkable.

Suggested Citation

  • Zhengjie Zhang & Zhandong Yu, 2014. "An Implement of FPGA Based PCI Controller Device and Improvement of DDA Arc Interpolation," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
  • Handle: RePEc:wly:jnlaaa:v:2014:y:2014:i:1:n:301646
    DOI: 10.1155/2014/301646
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    References listed on IDEAS

    as
    1. Shen Yin & Xin Gao & Hamid Reza Karimi & Xiangping Zhu, 2014. "Study on Support Vector Machine‐Based Fault Detection in Tennessee Eastman Process," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
    2. Shen Yin & Guang Wang & Xu Yang, 2014. "Robust PLS approach for KPI-related prediction and diagnosis against outliers and missing data," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(7), pages 1375-1382, July.
    3. Shen Yin & Xin Gao & Hamid Reza Karimi & Xiangping Zhu, 2014. "Study on Support Vector Machine-Based Fault Detection in Tennessee Eastman Process," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-8, April.
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