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An Efficient Speed Control Method Based on Neuro Fuzzy Modeling for Asynchronous Motors
(0-Belirlenecek, 2018)
In this study, a robust speed control based on adaptive neuro-fuzzy inference technique is proposed for asynchronous motors driven by indirect field oriented vector algorithm. The speed control performance of asynchronous ...
Uzay Vektör Darbe Genislik Modülasyonu ile Sürülen Üç Fazlı Bir Asenkron Motorun Denetiminde PI-Fuzzy Tipi Denetim Yönteminin Basarımının Incelenmesi
(Otomatik Kontrol Ulusal Toplantısı, TOK2013, 2013)
Asenkron motorlar endüstride çok geniş bir kullanım alanına sahiptir. Bu nedenle asenkron motorların hız denetimi büyük önem kazanmaktadır. Asenkron motorların hız denetiminde yüksek performans elde etmenin temeli vektör ...
A Comparative Analysis of FLC and ANFIS Controller for Vector Controlled Induction Motor Drive
(Optimization of Electrical & Electronic Equipment. International Symposium on Advanced Electromechanical Motion Systems, 2015)
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) based speed control for indirect field oriented controlled induction motor drive. The obtaining of maximum torque and efficiency in the motor necessitates ...
Üç Fazlı Asenkron Motor İçin Uzay Vektör Darbe Genişlik Modülasyonu Kullanan Yapay Sinir Ağı Temelli Adaptif Hız Kontrol Sistemi Tasarımı
(Kahramanmaras Sutcu Imam University Journal of Engineering Sciences, 2016)
The widespread use of asynchronous motors in today's industry is due to their robustness, high efficiency and operational reliability. However, great difficulties due to the very complex and non-linear structure is experienced ...
Simulation and Experimental Study of Vector Controlled Induction Motor Drive Based on RBFNN-MRAC Controller
(0-Belirlenecek, 2017)
Although induction motors have many structural advantages, they are difficult to control due to complicated and non-linear structures. In recent years, the control performance of induction motors has been improved by using ...
Neuro-Fuzzy Based Model Reference Adaptive Control for Induction Motor Drive
(The 5th International Fuzzy Systems Symposium (FUZZYSS’17), 2017)
An adaptive neuro-fuzzy inference system (ANFIS) based model reference adaptive control (MRAC) approach for vector controlled induction motor drive system is proposed in this paper. Due to the complex and nonlinear ...
Asenkron motorların online adaptif sinirsel-bulanık denetim (ANFIS) sistemine dayalı hız denetim performansının incelenmesi
(1st International Mediterranean Science and Engineering Congress (IMSEC 2016), 2016)
Üç fazlı asenkron motorların hız denetiminde sistemin doğrusal olmayan yapısı, yük momentindeki değişimler, parametre değişimleri ve bilinmeyen bozucu etkilerinden dolayı geleneksel PI tipi denetim ile iyi bir performans ...
ROBUST CONTROL OF THE THREE PHASE SQUIRREL CAGE INDUCTION MOTOR USING ANFIS AND PID TYPE CONTROLLERS
(I. ULUSLARARASI BATTALGAZİ MULTİDİSİPLİNER ÇALIŞMALAR KONGRESİ, 2018)
Squirrel-cage induction motors are widely used in industrial applications due to their high efficiency, low cost, durable, simple construction and high maintenance. Due to reasons such as nonlinear structures of the induction ...
Performance Analysis of ANFIS, FLC and PI Controller for Asynchronous Motor Drive
(International Advanced Researches and Engineering Congress(IAREC17), 2017)
control. Due to a nonlinear structure of asynchronous motors, it is very difficult to control. ANFIS controllers as an adaptive and learning system are aimed at improving speed control performance to ensure better performance ...
ÜÇ FAZLI ASENKRON MOTOR SÜRÜCÜLERİNDE HIZ KONTROL YÖNTEMLERİNİN ARAŞTIRILMASI
(International Refereed Journal of Engineering And Sciences, 2015)
Induction motors are the most used electric motors in industry which are high eficient, robust, little maintenance and because of its low cost. Because of these features, in speed control of the induction motors , it has ...