Yazar "Sunter, Sedat" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • [ X ]
    Öğe
    Comparation of PI and Neural Fuzzy Based Closed Loop Control Methods for Permanent Magnet Synchronous Motor Fed by Matrix Converter
    (Ieee, 2015) Yakut, Yurdagul Bentesen; Sunter, Sedat; Ozdemir, Mehmet
    Permanent magnet synchronous machines are used in many industrial applications today. In particular, depending on the developments in magnetic materials, permanent magnet synchronous motors rapidly developing in recent years have found themselves a widespread coverage in applications because of their outstanding features. When the research in the literature is surveyed, it is observed that the vector control of electrical machines is done by means of various methods. One of the most common applications of artificial intelligence used in the analysis of electrical machines is Neuro-Fuzzy, a combination of Fuzzy Logic and Neural Network. In this paper, the vector control of PMSM fed by a matrix converter is modeled and simulated by using PI controllers and Neuro-Fuzzy, one of the intelligent methods. Waveforms derived from the simulation of the vector control of PMSM fed by a matrix converter were examined comparatively for PI and Neuro-fuzzy controllers.
  • [ X ]
    Öğe
    A CONTROL METHOD FOR DRIVING DUAL PERMANENT MAGNET SYNCHRONOUS MOTORS FED BY SINGLE MATRIX CONVERTER
    (Univ Osijek, Tech Fac, 2017) Yakut, Yurdagul Bentesen; Sunter, Sedat; Ozdemir, Mehmet
    In this study, a control method is created to drive two parallel-connected permanent magnet synchronous motors fed by a single converter. Matrix converter used in this work provides ac-ac conversion in one stage. The matrix converter model and d-q model of dual PMSMs are performed in Matlab/Simulink. In industrial applications containing dual motors fed from a single converter, volume and weight of the drive system decreases, power electronics switches and other components are reduced and the installation cost decreases. Because of these advantages, many methods are being developed by researchers to control the dual motor drives. In this study, the motor control has been performed by using the average speed method. Control of dual permanent magnet synchronous motors with a single converter is implemented with ANFIS-based neural fuzzy controllers. All parameters of the motors are taken equal since two identical permanent magnet synchronous motors are considered. Two various operation conditions are investigated in the simulation. In the first case, one of the identical motors is operated on no-load, while the other one is operated with the rated load. In the second case, each motor is operated with various load torques varying with the time. Corresponding simulation results have been presented to show the performance of the drive system.