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

This paper presents an adaptive feedback linearization control scheme for induction motors with unknown rotor and stator resistances. We use an airgap flux model, which combines the advantages of existing rotor flux model and stator flux model. Theoretical analysis, simulation results, and real experimental results show that, if the persistent excitation is satisfied, stator and rotor resistances converge to their actual values, flux is well estimated, and torque and flux can be controlled independently with the measurements of rotor speed, stator currents and stator voltages.