A comparative real-time speed control of PMSM with Fuzzy Logic and ANN based vector controller

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Şırnak Üniversitesi

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info:eu-repo/semantics/openAccess

Özet

This paper presents, analyzed real-time speed control of Permanent Magnet Synchronous Motor (PMSM) under constant load by using Fuzzy Logic (FL) controller and recurrent Artificial Neural Network (ANN) controller. A closed loop PMSM drive system is improved using the mathematical model of the PMSM in Matlab / Simulink. Two types of controllers are used; the first controller is the real-time FL controller and the second controller is a real-time recurrent ANN controller in terms of smoother speed response. Whole drive systems is simulated in Matlab/Simulink program. The simulation results show that the focused ANN controller produce considerable control performance compare to the FL controller on controlling speed reference variations

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Permanent Magnet Synchronous Motor, Artificial Neural Network, Fuzzy Logic, Real-time Control

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Şırnak Üniversitesi Fen Bilimleri Dergisi

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1

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Güney, E , Karagöl, S , Demi̇r, M . (2019). A Comparative Real-Time Speed Control of PMSM with Fuzzy Logic and ANN Based Vector Controller . Şırnak Üniversitesi Fen Bilimleri Dergisi , 1 (1) , 123-143 . Retrieved from https://dergipark.org.tr/tr/pub/sufbd/issue/46848/546814

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