Research Article

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

Number: 014 December 17, 2007
  • Ayhan Gün *
Journal of Science and Technology of Dumlupınar University Cover
Journal of Science and Technology of Dumlupınar University
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THE POSITION CONTROL OF THE DC MACHINE BY PID ALGORITM AND TRAINING WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM

Abstract

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.

Keywords

References

  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)

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Ayhan Gün * This is me

Publication Date

December 17, 2007

Submission Date

September 15, 2007

Acceptance Date

November 15, 2007

Published in Issue

Year 2007 Number: 014

IZ

https://izlik.org/JA49JE88YM

Cite

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. DPÜFBED. 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, nos. 014: 55-64. https://izlik.org/JA49JE88YM.
EndNote
Gün A (December 1, 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”, DPÜFBED, no. 014, pp. 55–64, Dec. 2007, [Online]. Available: 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 (December 1, 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. DPÜFBED. 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, no. 014, Dec. 2007, pp. 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. DPÜFBED [Internet]. 2007 Dec. 1;(014):55-64. Available from: https://izlik.org/JA49JE88YM

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