Araştırma Makalesi

THE POSITION CONTROL OF THE DC MACHINE BY PID ALGORITM AND TRAINING WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM

Sayı: 014 17 Aralık 2007
  • Ayhan Gün *
Dumlupınar Üniversitesi Fen Bilimleri Enstitüsü Dergisi Kapak
Dumlupınar Üniversitesi Fen Bilimleri Enstitüsü Dergisi
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THE POSITION CONTROL OF THE DC MACHINE BY PID ALGORITM AND TRAINING WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM

Öz

In this study, the position of DC machines has been controlled by PID (Proportional-Integral-Derivative)
algorithm, has been trained by ANFIS (Adaptive Neuro Fuzzy Inference System) algorithm and output
equations for different inputs have been obtained. Control mechanisms have been explained by
comparing graphs that are obtained from the two algorithms.

Anahtar Kelimeler

Kaynakça

  1. [1] ST, AN280. Application note controlling voltage transiensts in full bridge driver applications.
  2. [2] Klee Andrew, “Development of a speed control system using matlab and simulink, implemented with a digital signal processor”, Master of Science in the Department of Electrical and Computer Engineering - In the College of Engineering and Computer Science at the University of Central Florida, Orlando, Florida, Spring Term, 2005
  3. [3] TMS320F2810, TMS320F2811, TMS320F2812, TMS320C2810, TMS320C2811, TMS320C2812, Digitalsignal processors, data manual. literature number: SPRS174L. April 2001 − Revised December 2004
  4. [4] Maas, J., “Industrial Electronics”, Prentice-Hall, New Jersey, 844-860 (1995)
  5. [5] MATLAB Fuzzy Logic Toolbox-2 User’s Guide, COPYRIGHT 1995–2007 The MathWorks, Inc.
  6. [6] J.-S. R. Jang, C.-T. Sun ve E. Mizutani, Neuro-fuzzy and soft computing, Prentice Hall, New Jersey, 1997.
  7. [7] Elmas,Ç.,”Bulanık Mantık denetleyiciler”, Seçkin yayınları,Ankara,188-197 (2003)

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yazarlar

Ayhan Gün * Bu kişi benim

Yayımlanma Tarihi

17 Aralık 2007

Gönderilme Tarihi

15 Eylül 2007

Kabul Tarihi

15 Kasım 2007

Yayımlandığı Sayı

Yıl 2007 Sayı: 014

IZ

https://izlik.org/JA49JE88YM

Kaynak Göster

RIS / Bibtex
APA
Gün, A. (2007). THE POSITION CONTROL OF THE DC MACHINE BY PID ALGORITM AND TRAINING WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM. Journal of Science and Technology of Dumlupınar University, 014, 55-64. https://izlik.org/JA49JE88YM
AMA
1.Gün A. THE POSITION CONTROL OF THE DC MACHINE BY PID ALGORITM AND TRAINING WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM. JSR-A. 2007;(014):55-64. https://izlik.org/JA49JE88YM
Chicago
Gün, Ayhan. 2007. “THE POSITION CONTROL OF THE DC MACHINE BY PID ALGORITM AND TRAINING WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM”. Journal of Science and Technology of Dumlupınar University, sy 014: 55-64. https://izlik.org/JA49JE88YM.
EndNote
Gün A (01 Aralık 2007) THE POSITION CONTROL OF THE DC MACHINE BY PID ALGORITM AND TRAINING WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM. Journal of Science and Technology of Dumlupınar University 014 55–64.
IEEE
[1]A. Gün, “THE POSITION CONTROL OF THE DC MACHINE BY PID ALGORITM AND TRAINING WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM”, JSR-A, sy 014, ss. 55–64, Ara. 2007, [çevrimiçi]. Erişim adresi: https://izlik.org/JA49JE88YM
ISNAD
Gün, Ayhan. “THE POSITION CONTROL OF THE DC MACHINE BY PID ALGORITM AND TRAINING WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM”. Journal of Science and Technology of Dumlupınar University. 014 (01 Aralık 2007): 55-64. https://izlik.org/JA49JE88YM.
JAMA
1.Gün A. THE POSITION CONTROL OF THE DC MACHINE BY PID ALGORITM AND TRAINING WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM. JSR-A. 2007;:55–64.
MLA
Gün, Ayhan. “THE POSITION CONTROL OF THE DC MACHINE BY PID ALGORITM AND TRAINING WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM”. Journal of Science and Technology of Dumlupınar University, sy 014, Aralık 2007, ss. 55-64, https://izlik.org/JA49JE88YM.
Vancouver
1.Ayhan Gün. THE POSITION CONTROL OF THE DC MACHINE BY PID ALGORITM AND TRAINING WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM. JSR-A [Internet]. 01 Aralık 2007;(014):55-64. Erişim adresi: https://izlik.org/JA49JE88YM