Adaptive feedback linearization control based on stator flux model for induction motors

This paper presents an adaptive feedback linearization control of induction motor based on the model that defines stator fluxes as state variables. The proposed control algorithm is simpler than the previous ones which define rotor fluxes as state variables since the relative degree for flux modulus is decreased and nonlinear coordinate transformation is not needed. In this paper, adaptation schemes are suggested to compensate for stator resistance, rotor resistance and load torque. In particular, the adaptation to the variation of stator resistance is a new trial in this field. In addition, to improve convergence of rotor resistance estimation, the difference between stator current and its estimated value is used for parameter adaptation. The effectiveness and the performance of the proposed method is verified by computer simulations.