Adaptive Fuzzy Backstepping Controller for Position Control of a Permanent Magnet Synchronous Motor Drive System

نویسندگان

  • ZHANG YING
  • GUO YAJUN
  • LI PENG
چکیده

In this paper, an adaptive fuzzy backstepping controller has been developed for the position tracking control of a permanent magnet synchronous motor (PMSM) drive. Fuzzy logic systems are used to approximate unknown nonlinearities appearing in the control law and an adaptive backstepping technique is employed to construct controller. To illustrate the performance of the proposed controller compared with the conventional backstepping that is studied by computer simulations. Simulation results verify that the proposed control structure is very simple and the position tracking error can converge to a small scope under parameter uncertainties and load torque disturbance.

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تاریخ انتشار 2013