BibTex RIS Kaynak Göster

Analysis and Simulation of Speed Control in DC Motor Drive By Using Fuzzy Control Based on Model Reference Adaptive Control

Yıl 2016, Cilt: 37 Sayı: 3, 197 - 211, 16.09.2016
https://doi.org/10.17776/csj.15867

Öz

Abstract. This paper presents the conventional performance of the model reference adaptive control (MRAC) and the model reference fuzzy adaptive control (MRFAC). The aims of this work are: a) increasing in correspondence of motor speed with defined reference model speed of the system, b) decreasing of noises under load changes and disturbances, and c) increasing of system stability. Thus, model reference adaptive control is applied instead of non-adaptive or conventional control. Also fuzzy controller is used in place of classic controllers like PI controller. The operation of non-adaptive control and the model reference of fuzzy and conventional adaptive control are studied for derive and adjustment of dc motor speed. Then they are compared with each other. The model reference and fuzzy controller are designed based on securing of the entire system stability. Simulation is done with constant and variable loads. The result obtained shows that the adaptive control is more favorite than non-adaptive control. Also fuzzy adaptive control is more satisfactory than conventional adaptive control. The simulations are carried out by using Matlab-Simulink.

Keywords: Speed control, PI controller, model reference adaptive control, fuzzy logic controller, DC motor
 

Kaynakça

  • R. Saidur, "A review on electrical motors energy use and energy savings", Renewable and Sustainable Energy Reviews, Vol. 14, pp. 877–898, 2010.
  • W.J. Lee, R. Kenarangui, "Energy management for motors, systems, and electrical equipment", IEEE Trans. On Industry Applications, Vol. 38, No. 2, pp. 602-607, March/April 2002.
  • M.A. Sheta1, V. Agarwa, P.S.V. Nataraj, "A new energy optimal control scheme for a separately excited DC motor based incremental motion drive", International Journal of Automation and Computing, Vol. 6, No. 3, pp. 267-276, Aug. 2009.
  • R.H. Issa, "Separately excited DC motor optimal efficiency controller", International Journal of Engineering and Innovative Technology, Vol. 3, No. 1, pp. 533-539, July 2013.
  • T. Kara, I. Eker, "Nonlinear modeling and identification of a DC motor for bidirectional operation with real time experiments", Energy Conversion and Management, Vol. 45, No. 7-8, pp. 1087-1106, May 2004.
  • M. Pant, R. Thangaraj, V.P. Singh, "Efficiency optimization of electric motors: A comparative study of stochastic algorithms ", World Journal of Modeling and Simulation, Vol. 4, No. 2, pp. 140-148, 2008.
  • Gh. Shahgholian, J. Faiz, N. Sedri, P. Shafaghi, M. Mahdavian, "Design and experimental analysis of a high speed two-phase induction motor drive for weaver machines applications", International Review of Electrical Engineering,Vol. 5, No. 2, pp. 454-461, April 2010. 7 8 Time(sec)

Model Referans Uyarlanabilir Kontrole Dayalı Bulanık Kontrol Kullanımı ile DC Motor Sürücülerde Hız Kontrolünün Analiz ve Benzetimi

Yıl 2016, Cilt: 37 Sayı: 3, 197 - 211, 16.09.2016
https://doi.org/10.17776/csj.15867

Öz

Bu makalede, model referans uyarlamalı kontrol (MRAC) ve model referans bulanık uyarlanabilir kontrol (MRFAC) için geleneksel performans sunulmuştur. Çalışmanın amaçları: a) sistemin tanımlı referans model hızı ile motor hızının uyumunun arttırılması, b) yükleme değişimi ve bozuklukları durumunda gürültünün azaltılması ve c) sistemin kararlılığının arttırılması. Böylece, model referans uyarlamalı kontrol yerine uyarlanabilir olmayan veya geleneksel kontrol uygulanır.Ayrıca bulanık kontrolör, PI kontrolör gibi klasik kontrolörlerin yerine kullanılmıştır. Uyarlanır olmayan kontrolün işletimi ve model referans bulanık kontrol ve geleneksel uyarlanabilir kontrol, dc motor hızının türetilmesi ve ayarlanmasında çalışılmıştır. Ardından bunlar birbirleriyle karşılaştırılmıştır. Model referans ve bulanık kontrolör, tüm sistemin kararlılık güvencesine dayanarak tasarlanmıştır. Simülasyon, sabit ve değişken yükler ile yapılmıştır. Elde edilen sonuçlara göre, uyarlanabilir kontrol, uyarlanabilir olmayana göre daha gözdedir. Ayrıca bulanık uyarlanabilir kontrol geleneksel uyarlanabilir kontrolden daha tatmin edicidir.Simülasyonlar, Matlab-Simulink kullanılarak yapılmıştır

Kaynakça

  • R. Saidur, "A review on electrical motors energy use and energy savings", Renewable and Sustainable Energy Reviews, Vol. 14, pp. 877–898, 2010.
  • W.J. Lee, R. Kenarangui, "Energy management for motors, systems, and electrical equipment", IEEE Trans. On Industry Applications, Vol. 38, No. 2, pp. 602-607, March/April 2002.
  • M.A. Sheta1, V. Agarwa, P.S.V. Nataraj, "A new energy optimal control scheme for a separately excited DC motor based incremental motion drive", International Journal of Automation and Computing, Vol. 6, No. 3, pp. 267-276, Aug. 2009.
  • R.H. Issa, "Separately excited DC motor optimal efficiency controller", International Journal of Engineering and Innovative Technology, Vol. 3, No. 1, pp. 533-539, July 2013.
  • T. Kara, I. Eker, "Nonlinear modeling and identification of a DC motor for bidirectional operation with real time experiments", Energy Conversion and Management, Vol. 45, No. 7-8, pp. 1087-1106, May 2004.
  • M. Pant, R. Thangaraj, V.P. Singh, "Efficiency optimization of electric motors: A comparative study of stochastic algorithms ", World Journal of Modeling and Simulation, Vol. 4, No. 2, pp. 140-148, 2008.
  • Gh. Shahgholian, J. Faiz, N. Sedri, P. Shafaghi, M. Mahdavian, "Design and experimental analysis of a high speed two-phase induction motor drive for weaver machines applications", International Review of Electrical Engineering,Vol. 5, No. 2, pp. 454-461, April 2010. 7 8 Time(sec)
Toplam 7 adet kaynakça vardır.

Ayrıntılar

Bölüm Mühendislik Bilimleri Makalesi
Yazarlar

Ghazanfar Shahgholıan Bu kişi benim

Mojtaba Maghsoodı Bu kişi benim

Yayımlanma Tarihi 16 Eylül 2016
Yayımlandığı Sayı Yıl 2016 Cilt: 37 Sayı: 3

Kaynak Göster

APA Shahgholıan, G., & Maghsoodı, M. (2016). Analysis and Simulation of Speed Control in DC Motor Drive By Using Fuzzy Control Based on Model Reference Adaptive Control. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, 37(3), 197-211. https://doi.org/10.17776/csj.15867
AMA Shahgholıan G, Maghsoodı M. Analysis and Simulation of Speed Control in DC Motor Drive By Using Fuzzy Control Based on Model Reference Adaptive Control. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. Ekim 2016;37(3):197-211. doi:10.17776/csj.15867
Chicago Shahgholıan, Ghazanfar, ve Mojtaba Maghsoodı. “Analysis and Simulation of Speed Control in DC Motor Drive By Using Fuzzy Control Based on Model Reference Adaptive Control”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 37, sy. 3 (Ekim 2016): 197-211. https://doi.org/10.17776/csj.15867.
EndNote Shahgholıan G, Maghsoodı M (01 Ekim 2016) Analysis and Simulation of Speed Control in DC Motor Drive By Using Fuzzy Control Based on Model Reference Adaptive Control. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 37 3 197–211.
IEEE G. Shahgholıan ve M. Maghsoodı, “Analysis and Simulation of Speed Control in DC Motor Drive By Using Fuzzy Control Based on Model Reference Adaptive Control”, Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, c. 37, sy. 3, ss. 197–211, 2016, doi: 10.17776/csj.15867.
ISNAD Shahgholıan, Ghazanfar - Maghsoodı, Mojtaba. “Analysis and Simulation of Speed Control in DC Motor Drive By Using Fuzzy Control Based on Model Reference Adaptive Control”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 37/3 (Ekim 2016), 197-211. https://doi.org/10.17776/csj.15867.
JAMA Shahgholıan G, Maghsoodı M. Analysis and Simulation of Speed Control in DC Motor Drive By Using Fuzzy Control Based on Model Reference Adaptive Control. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. 2016;37:197–211.
MLA Shahgholıan, Ghazanfar ve Mojtaba Maghsoodı. “Analysis and Simulation of Speed Control in DC Motor Drive By Using Fuzzy Control Based on Model Reference Adaptive Control”. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi, c. 37, sy. 3, 2016, ss. 197-11, doi:10.17776/csj.15867.
Vancouver Shahgholıan G, Maghsoodı M. Analysis and Simulation of Speed Control in DC Motor Drive By Using Fuzzy Control Based on Model Reference Adaptive Control. Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi. 2016;37(3):197-211.