@inproceedings{34e93f436ed34a7ea356f32743571f95,
title = "On-line identification of induction motors: Experiments and results",
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 = "ARMA, HIL, Identification, Induction motor",
author = "Saleem, {Ashraf I.} and Tutunji, {Tarek A.} and Rateb Issa",
year = "2008",
doi = "10.1109/ISMA.2008.4648798",
language = "English",
isbn = "9781424420346",
series = "Proceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008",
booktitle = "Proceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008",
note = "5th International Symposium on Mechatronics and its Applications, ISMA 2008 ; Conference date: 27-05-2008 Through 29-05-2008",
}