Parameter and state estimation for induction motors via interlaced least squares algorithm and Kalman filter

A new scheme for on-line rotor resistance and rotor fluxes estimation in induction motors is proposed. The algorithm is obtained by interlacing a least squares estimator and a Kalman filter. At each integration step the former provides the parameter estimate which is used by the latter for the state variable reconstruction. Several simulation results, carried out in the presence of a PWM inverter, show the effectiveness of the solution presented, both in dynamic and steady state operating conditions.