On-line identification of induction motors: Experiments and results

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

نتاج البحث: Conference contribution

2 اقتباسات (Scopus)

ملخص

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.

اللغة الأصليةEnglish
عنوان منشور المضيفProceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008
المعرِّفات الرقمية للأشياء
حالة النشرPublished - 2008
منشور خارجيًانعم
الحدث5th International Symposium on Mechatronics and its Applications, ISMA 2008 - Amman, Jordan
المدة: مايو ٢٧ ٢٠٠٨مايو ٢٩ ٢٠٠٨

سلسلة المنشورات

الاسمProceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008

Other

Other5th International Symposium on Mechatronics and its Applications, ISMA 2008
الدولة/الإقليمJordan
المدينةAmman
المدة٥/٢٧/٠٨٥/٢٩/٠٨

ASJC Scopus subject areas

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