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Design of Contour Error Coupling Controller Based on Neural Network Friction Compensation

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  • Sanxiu Wang
  • Guang Chen
  • Yueli Cui

Abstract

In two-axis servo contour motion control, friction and various uncertainties unavoidably exist, reducing the contour control accuracy. This paper proposes a neural network contour error coupling control method based on LuGre friction compensation, which includes a contour error calculation model, single-axis computed torque controller (CTC), and neural network friction compensation controller. The LuGre friction model can describe servo system’s complicated static and dynamic friction characteristics, and the RBF neural network has a universal approximation property to realize compensation control of friction. Simulation results indicate that the proposed contour error control method can effectively compensate for the effect of friction and improve contour control accuracy.

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  • Sanxiu Wang & Guang Chen & Yueli Cui, 2019. "Design of Contour Error Coupling Controller Based on Neural Network Friction Compensation," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-8, October.
    • Handle: RePEc:hin:jnlmpe:1420380
    DOI: 10.1155/2019/1420380
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