Adaptive tracking control of an induction motor

Abstract

An adaptive tracking controller for an induction motor driving a load is presented. Using nonlinear models of the motor and load, a global uniform asymptotic stability (GUAS) result for the motor position tracking error is obtained. The control is capable of handling parametric uncertainty throughout the entire electromechanical system dynamics. The control requires full state feedback (i.e., motor position, velocity, stator currents, and rotor fluxes).