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• W2543538660 abstract "This paper presents a new modeling technique for an induction motor using adaptive neuro-fuzzy inference system (ANFIS). A simple and more realistic model of the induction motor has been developed. The values of stator voltage (Vs), stator current (Is) and rotor angular velocity (/spl omega/r) are taken from the free acceleration test data for simulation and 5 HP motor was used. Using ANFIS, the parameter sets of the model are estimated. The simplified model contains eleven estimated parameters. In this paper, a new estimation technique for modeling of induction motor is presented and simulation was carried out. The identified model can be utilized for electric drives." @default.
• W2543538660 created "2016-11-04" @default.
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• W2543538660 date "2004-06-21" @default.
• W2543538660 modified "2023-10-14" @default.
• W2543538660 title "Adaptive neuro-fuzzy inference system modeling of an induction motor" @default.
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• W2543538660 doi "https://doi.org/10.1109/peds.2003.1282877" @default.
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