Design of Neuro-Fuzzy Based Torque Controller for Torque Ripple Reduction of Asynchronous Motor

Ahmet GÜNDOĞDU; Fikret ATA; Beşir DANDIL

doi:https://doi.org/10.17694/bajece.730311

Makale detayları

Design of Neuro-Fuzzy Based Torque Controller for Torque Ripple Reduction of Asynchronous Motor

Yazarlar:

Ahmet GÜNDOĞDU | Fikret ATA | Beşir DANDIL

Yayıncı:

Balkan Yayın

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Balkan Journal of Electrical and Computer Engineering 2020 Vol.8 Issue 3, pp.225-234

Belge Tipi:

Makale

Yayın Tarihi:

7/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000927349

Sıklık:

Üç Aylık

pISSN:

2147-284X

DOI:

https://doi.org/10.17694/bajece.730311

Özet:

 

Among all the control methods developed for Induction Motor (IM) drivers, the hysteresis controller based Direct Torque Control (DTC) method has an important place. This control method does not require other rotor and stator parameters except the stator resistance and does not require position or velocity sensors. However, there are some disadvantages of the DTC method, such as high torque, flux and current ripples. In this study, in order to reduce the high torque ripples occurring in an induction motor that is controlled by the hysteresis controller based conventional DTC method, a simple and effective Sugeno type Neuro-Fuzzy Torque Controller (NFTC) is proposed. This proposed controller is used instead of hysteresis controller. An experimental setup consisting of 1.1 kW induction motor, current and voltage measurement, DS1103 control card and two-level voltage source inverter was installed. To evaluate the performance of the proposed controller structure, various experimental studies were performed. Results obtained from the proposed NFTC based structure and conventional hysteresis controller based DTC structures are given comparatively. By the obtained experimental results, it was confirmed that the proposed NFTC-based controller structure considerably reduced flux and torque ripples in the motor.

Makale detayları

Design of Neuro-Fuzzy Based Torque Controller for Torque Ripple Reduction of Asynchronous Motor

Yazarlar: Ahmet GÜNDOĞDU | Fikret ATA | Beşir DANDIL

Yayıncı: Balkan Yayın

Ana Başlıklar: Uygulamalı fizik

Dergi: Balkan Journal of Electrical and Computer Engineering 2020 Vol.8 Issue 3, pp.225-234

Belge Tipi: Makale

Yayın Tarihi: 7/2020

Belge Dili: İngilizce

Document ID (Org No.): 2000927349

Sıklık: Üç Aylık

pISSN: 2147-284X

DOI: https://doi.org/10.17694/bajece.730311

Sayı

Yazarlar:

Ahmet GÜNDOĞDU | Fikret ATA | Beşir DANDIL

Yayıncı:

Balkan Yayın

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Balkan Journal of Electrical and Computer Engineering 2020 Vol.8 Issue 3, pp.225-234

Belge Tipi:

Makale

Yayın Tarihi:

7/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000927349

Sıklık:

Üç Aylık

pISSN:

2147-284X

DOI:

https://doi.org/10.17694/bajece.730311