NDLI: Robust speed-sensorless induction motor with the rotor time constant adaptation

Content Provider	IEEE Xplore Digital Library
Author	Larabi, A. Boucherit, M.S.
Copyright Year	2010
Description	Author affiliation: Laboratory of the electric and industrial systems, USTHB BP. 32 El-Alia, Bab-Ezzouar, Algiers, Algeria (Larabi, A.) \|\| Process Control Laboratory, ENP, BP. 182, 16200, El-Harrach, Algiers, Algeria (Boucherit, M.S.)
Abstract	This paper presents a new technique for online identification of an induction motor rotor time constant. The technique is designed for a shaft-sensorless indirect field-oriented control induction motor drive with a model reference adaptive system (MRAS)-based speed estimator. The MRAS estimator is sensitive to the changes in the rotor time constant, and on line identification of that parameter is essential. If rotor parameter error exists, it does not only change the achieved rotor speed, but it also changes the dynamic behavior of the whole field control and speed estimation structure. Considering this major inconvenience, a solution is obtained by estimating the rotor resistance, we use a method that computes the latter in function to flux (real, reference) and torque (Electromagnetic real, reference). The rotor speed is estimated by using the model reference adaptive system approach (MRAS). This method consists of using two models: The first is the reference model and the second is an adjustable one in which two components of the stator flux, obtained from the measurement of the currents and stator voltages are estimated. The estimated rotor speed is then obtained by canceling the difference between stator-flux of the reference model and those of the adjustable one. Satisfactory results of simulation are obtained and discussed in this paper to highlight the proposed approach.
Starting Page	1
Ending Page	6
File Size	138423
Page Count	6
File Format	PDF
ISBN	9781424490929
e-ISBN	9781424490943
DOI	10.1109/ESARS.2010.5665240
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-19
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Regulators Torque Adaptation model Rotors Stators Mathematical model Machine vector control
Content Type	Text
Resource Type	Article

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