caa a22 4500 463206509 CHVBK 20180405153127.0 cr unu---uuuuu 170326e20070701xx s 000 0 eng 10.1007/s00202-006-0039-x doi (NATIONALLICENCE)springer-10.1007/s00202-006-0039-x Parameter identification of deep-bar induction motors using genetic algorithm [Elektronische Daten] [Ebrahim Rahimpour, Vahid Rashtchi, Mahmood Pesaran] In recent years, the use of three-phase deep-bar induction motors in power systems has increased. Proper modeling and precise parameter identification of the model are essential for motors' operating analysis. In this paper, among the proposed models of deep-bar induction motors, a model based on two-axis theory is discussed and developed to improve precision. A real coded genetic algorithm estimates the parameters of the model. The accuracy and validity of the model and its identified parameters are verified with the help of a 5.5kW, 380V, 50Hz, 1,450rpm deep-bar induction motor. Springer-Verlag, 2006 Induction motor nationallicence Deep-bar effect nationallicence Modeling nationallicence Parameter identification nationallicence Genetic algorithm (GA) nationallicence Rahimpour Ebrahim Electrical Engineering Department, Faculty of Engineering, University of Zanjan, Daneshgah road (Tabriz road km 5), P.O. Box 313, Zanjan, Iran aut Rashtchi Vahid Electrical Engineering Department, Faculty of Engineering, University of Zanjan, Daneshgah road (Tabriz road km 5), P.O. Box 313, Zanjan, Iran aut Pesaran Mahmood Electrical Engineering Department, Faculty of Engineering, University of Zanjan, Daneshgah road (Tabriz road km 5), P.O. Box 313, Zanjan, Iran aut Electrical Engineering Springer-Verlag 89/7(2007-07-01), 547-552 0948-7921 89:7<547 2007 89 202 https://doi.org/10.1007/s00202-006-0039-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00202-006-0039-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Rahimpour Ebrahim Electrical Engineering Department, Faculty of Engineering, University of Zanjan, Daneshgah road (Tabriz road km 5), P.O. Box 313, Zanjan, Iran aut NATIONALLICENCE 700 1- Rashtchi Vahid Electrical Engineering Department, Faculty of Engineering, University of Zanjan, Daneshgah road (Tabriz road km 5), P.O. Box 313, Zanjan, Iran aut NATIONALLICENCE 700 1- Pesaran Mahmood Electrical Engineering Department, Faculty of Engineering, University of Zanjan, Daneshgah road (Tabriz road km 5), P.O. Box 313, Zanjan, Iran aut NATIONALLICENCE 773 0- Electrical Engineering Springer-Verlag 89/7(2007-07-01), 547-552 0948-7921 89:7<547 2007 89 202 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer