Copyright © 2010 Jinpeng Yu et al. This is an open access article distributed under the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The speed tracking control problem of permanent magnet synchronous motors
with parameter uncertainties and load torque disturbance is addressed. Fuzzy
logic systems are used to approximate nonlinearities, and an adaptive
backstepping technique is employed to construct controllers. The proposed
controller guarantees the tracking error convergence to a small neighborhood of
the origin and achieves the good tracking performance. Simulation results
clearly show that the proposed control scheme can track the position
reference signal generated by a reference model successfully under parameter
uncertainties and load torque disturbance without singularity and
overparameterization.