Nonlinear predictive control of current-fed induction motor based on differential flatness properties

The purpose of this paper is to present a new methodology to control current-fed induction motor. This approach results from a combination of the differential flatness properties and the monovariable Generalized Predictive Control with Multiple Reference Model (GPC/MRM) algorithm. The chosen outputs: the rotor speed and the square of the rotor flux modulus, with respect to the motor modeling, lead to a flat system. This therefore allows to track speed and flux nominal trajectories respecting the motor´s constraints. Simulation results are given in the case of nominal and mismatched parameters on the complete nonlinear model.