DocumentCode :
1584891
Title :
Robust speed-sensorless induction motor with the rotor time constant adaptation
Author :
Larabi, A. ; Boucherit, M.S.
Author_Institution :
Lab. of the Electr. & Ind. Syst., USTHB, Algiers, Algeria
fYear :
2010
Firstpage :
1
Lastpage :
6
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.
Keywords :
angular velocity control; electric current measurement; induction motor drives; machine vector control; model reference adaptive control systems; rotors; sensorless machine control; stators; MRAS; current measurement; indirect field oriented control; induction motor drive; model reference adaptive system; online identification; rotor time constant; sensorless induction motor; speed estimation; stator flux; Adaptation model; Machine vector control; Mathematical model; Regulators; Rotors; Stators; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Systems for Aircraft, Railway and Ship Propulsion (ESARS), 2010
Conference_Location :
Bologna
Print_ISBN :
978-1-4244-9092-9
Type :
conf
DOI :
10.1109/ESARS.2010.5665240
Filename :
5665240
Link To Document :
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