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

Yıl 2007, Sayı: 014, 55 - 64, 17.12.2007

Ayhan Gün

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

PID, ANFIS, DC machine, PWM (pulse width modulation)

DOĞRU AKIM MAKİNALARININ PID ALGORİTMASI İLE KONUM DENETİMİ ve UYARLANIR SİNİR BULANIK ÇIKARIM SİSTEMİ (ANFIS) İLE EĞİTİMİ

Öz

Bu çalışmada, doğru akım (DC) makinaların konumu PID (Proportional-Integral-Derivative) algoritması kullanılarak
denetlenmiş, ANFIS (Adaptive Neuro Fuzzy Inference System) kullanılarak eğitimi yapılmış ve farklı girdiler için
çıktı denklemleri elde edilmiştir. Her iki algoritmadan elde edilen sonuç grafikleri karşılaştırılarak denetim
yöntemleri hakkında açıklamalar yapılmıştır.

Anahtar Kelimeler

PID, ANFIS, DC motor, PWM (pulse width modulation)

Kaynakça

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• [3] TMS320F2810, TMS320F2811, TMS320F2812, TMS320C2810, TMS320C2811, TMS320C2812, Digitalsignal processors, data manual. literature number: SPRS174L. April 2001 − Revised December 2004
• [4] Maas, J., “Industrial Electronics”, Prentice-Hall, New Jersey, 844-860 (1995)
• [5] MATLAB Fuzzy Logic Toolbox-2 User’s Guide, COPYRIGHT 1995–2007 The MathWorks, Inc.
• [6] J.-S. R. Jang, C.-T. Sun ve E. Mizutani, Neuro-fuzzy and soft computing, Prentice Hall, New Jersey, 1997.
• [7] Elmas,Ç.,”Bulanık Mantık denetleyiciler”, Seçkin yayınları,Ankara,188-197 (2003)