An Online Simplified Rotor Resistance Estimator for Induction Motors

• Published in: IEEE transactions on control systems technology Vol. 18; no. 5; pp. 1188 - 1194
• Main Authors: Kenné, Godpromesse, Simo, R S, Lamnabhi-Lagarrigue, F, Arzandé, A, Vannier, J C
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.09.2010; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: A.c. Machines; Algorithms; Applied sciences; Automatic; Computer science; control theory; systems; Control theory. Systems; Electrical engineering. Electrical power engineering; Electrical machines; Electrical resistance measurement; Engineering Sciences; Equivalent injection term; Estimators; Exact sciences and technology; Induction motors; Mathematical models; Modelling and identification; Motors; Noise measurement; Noise robustness; nonlinear observer; On-line systems; Online; online parameter estimation; Parameter estimation; Rotors; Stators; Studies; Testing; Uncertain systems; Voltage; Parameter estimation; Voltage current curve; nonlinear observer; Stator; Asynchronous motor; Real time; Modeling; Varying speed; Uncertain system; Identifier; Ac motor; Discretization; Induction machine; online parameter estimation; Equivalent injection term; System identification; Electric motor; Dynamic model; Measurement error; Non linear observer; Signal to noise ratio
• ISSN: 1063-6536; 1558-0865
• DOI: 10.1109/TCST.2009.2033790

This brief presents an adaptive variable structure identifier that provides finite time convergent estimate of the induction motor rotor resistance under feasible persistent of excitation condition. The proposed rotor resistance scheme is based on the standard dynamic model of induction motor expressed in a fixed reference frame attached to the stator. The available variables are the rotor speed, the stator currents and voltages. Experiments show that the proposed method achieved very good estimation of the rotor resistance which is subjected to online large variation during operation of the induction motor. Also, the proposed online simplified rotor resistance estimator is robust with respect to the variation of the stator resistance, measurement noise, modeling errors, discretization effects and parameter uncertainties. Important advantages of the proposed algorithm include that it is an online method (the value of R r can be continuously updated) and it is very simple to implement in real-time (this feature distinguishes the proposed identifier from the known ones).