Recursive Least Square Algorithm for Estimating Parameters of an Induction Motor

This paper presents a linear parameter estimation technique used to estimate the rotor resistance, self inductance of the rotor winding, stator resistance and the stator leakage inductance of an induction motor. Such estimation is important for achieving high estimation performance of induction motor drives. The parameters estimation model expresses the relationships of the dynamic machine model in terms of measurable stator voltages, currents and motor speed. This model is represented by a linear regression equation from which machine parameters can be obtained using a recursive least squares (RLS) estimation algorithm. Simulation results are presented to validate the proposed estimation algorithm with reasonable accuracy of the estimated parameters regardless of load conditions. Comparisons between experimental and calculated steady-state performances using the estimated parameters are also presented.