An adaptive feedback linearization control for induction motor

An adaptive state feedback linearizing control (AFLC) is designed for a fifth order model of a three-phase induction motor which includes both electrical and mechanical dynamics. The control algorithm contains an adaptive scheme of feedback linearization control (FLC) to improve robustness against of model parameters variation of induction motor servomechanism. In order to provide an estimated rotor speed for the control system, a model reference adaptive system (MRAS) algorithm based on reactive power was applied. This estimation passes through a Kalman filter, which is also used for the torque estimation. Experimental results are provided to evaluate control schemes performance comparing AFLC scheme with FLC control scheme.