Robust recurrent-neural-network sliding-mode control for the X-Y table of a CNC machine

  title={Robust recurrent-neural-network sliding-mode control for the X-Y table of a CNC machine},
  author={F.-J. Lin and P.-H. Shieh and P.-H. Shen},
A robust recurrent-neural-network (RRNN) sliding-mode control is proposed for a biaxial motion mechanism to allow reference contour tracking. The biaxial motion mechanism is a X-Y table of a computer numerical control machine that is driven by two field-oriented control permanent-magnet synchronous motors. The single-axis motion dynamics are derived in terms of a lumped uncertainty that includes cross-coupled interference between the two-axes. A RRNN sliding-mode control system is proposed… CONTINUE READING


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