Design of an adaptive linearizing control for induction motors
A nonlinear adaptive state feedback linearizing control scheme for induction motors is designed in this paper. The control algorithm relies on the fourth-order nonlinear dynamic model of the motor and a variant of the least squares algorithm is employed for parameter estimation. The multivariable model reference adaptive scheme is used for tracking motor torque and flux references, considering the full state accessible. The closed-loop system stability is proved by Lyapunov like techniques.