Backlash Compensation in Nonlinear Systems Using Dynamic Inversion by Neural Networks

نویسندگان

  • Rastko R. Selmic
  • Frank L. Lewis
چکیده

A dynamic inversion compensation scheme is presented for backlash. The compensator uses the backstepping technique with neural networks (NN) for inverting the backlash nonlinearity in the feedforward path. The technique provides a general procedure for using NN to determine the dynamic preinverse of an invertible dynamical system. A tuning algorithm is presented for the NN backlash compensator which yields a stable closed-loop system.

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تاریخ انتشار 1999