RECURSIVE LEAST SQUARE ALGORITHM FOR ESTIMATING PARAMETERS OF AN INDUCTION MOTOR

Document Type : Research Paper

Authors

1 Electrical Engineering Department, Minia Uni., Egypt

2 Department of Electrical Power and Machine, Alazhar Uni., Qena, Egypt

Abstract

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.

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