On-line identification of induction motors: Experiments and results

Ashraf I. Saleem, Tarek A. Tutunji, Rateb Issa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008
DOIs
Publication statusPublished - 2008
Event5th International Symposium on Mechatronics and its Applications, ISMA 2008 - Amman, Jordan
Duration: May 27 2008May 29 2008

Other

Other5th International Symposium on Mechatronics and its Applications, ISMA 2008
CountryJordan
CityAmman
Period5/27/085/29/08

Keywords

  • ARMA
  • HIL
  • Identification
  • Induction motor

ASJC Scopus subject areas

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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    Saleem, A. I., Tutunji, T. A., & Issa, R. (2008). On-line identification of induction motors: Experiments and results. In Proceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008 [4648798] https://doi.org/10.1109/ISMA.2008.4648798