DocumentCode :
3056154
Title :
On-line identification of induction motors: Experiments and results
Author :
Saleem, Ashraf I. ; Tutunji, Tarek A. ; Issa, Rateb
Author_Institution :
Dept. of Mechatron. Eng., Philadelphia Univ., Amman
fYear :
2008
fDate :
27-29 May 2008
Firstpage :
1
Lastpage :
5
Abstract :
Induction motors are widely used in the industry. However, due to their involved mathematical models those depend on difficult to measure parameters such as leakage inductance. Therefore, simplified model approximations are usually used instead. In this paper, a system identification method based on auto regressive moving average (ARMA) models and hardware-in-the-loop (HIL) concept has been employed to identify and predict the behavior of a squirrel cage induction motor. The motor transfer function is identified online using an impulse input. Then, the identified model response is compared to the real system response with different input signals. Results show that the model used follows the real system response with good accuracy.
Keywords :
autoregressive moving average processes; parameter estimation; squirrel cage motors; transfer functions; transient response; ARMA models; auto regressive moving average models; hardware-in-the-loop concept; impulse response; motor transfer function; on-line parameter identification; squirrel cage induction motor; DC motors; Equations; Induction motors; Mathematical model; Mechatronics; Parameter estimation; Rotors; Steady-state; System identification; Transfer functions; ARMA; HIL; Induction motor; identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Its Applications, 2008. ISMA 2008. 5th International Symposium on
Conference_Location :
Amman
Print_ISBN :
978-1-4244-2033-9
Electronic_ISBN :
978-1-4244-2034-6
Type :
conf
DOI :
10.1109/ISMA.2008.4648798
Filename :
4648798
Link To Document :
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