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Reseach Article

A Comparative Analysis on Controlling Speed of Universal Motor by using Fuzzy and ANFIS Controller

by Aisha Jilani, I Ahmad, S. Omar Jilani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 99 - Number 7
Year of Publication: 2014
Authors: Aisha Jilani, I Ahmad, S. Omar Jilani
10.5120/17386-7923

Aisha Jilani, I Ahmad, S. Omar Jilani . A Comparative Analysis on Controlling Speed of Universal Motor by using Fuzzy and ANFIS Controller. International Journal of Computer Applications. 99, 7 ( August 2014), 32-36. DOI=10.5120/17386-7923

@article{ 10.5120/17386-7923,
author = { Aisha Jilani, I Ahmad, S. Omar Jilani },
title = { A Comparative Analysis on Controlling Speed of Universal Motor by using Fuzzy and ANFIS Controller },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 99 },
number = { 7 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 32-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume99/number7/17386-7923/ },
doi = { 10.5120/17386-7923 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:27:35.192734+05:30
%A Aisha Jilani
%A I Ahmad
%A S. Omar Jilani
%T A Comparative Analysis on Controlling Speed of Universal Motor by using Fuzzy and ANFIS Controller
%J International Journal of Computer Applications
%@ 0975-8887
%V 99
%N 7
%P 32-36
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Machines have comforted human beings in every walk of life such as scientifically, economically as well as socially. Machines consists of immotile as well certain rotating parts which combine to reduce human efforts into well-founded and pertinent work for example pulleys, blenders,, compressors etc. For every advanced technology of machines its different parameters are needed to be controlled for a competent, productive and faultless system. This paper aims on careful investigation of two advanced type of approaches for controlling speed of universal motor. These two approaches namely Fuzzy technique and ANFIS technique are employed as powerful mechanisms for varying speed based on output graph of step response versus time. A comparative evaluation is then done on the basis of two most important parameters of machines named as percentage overshoot and settling time. Comparative analysis aids in determining the best methodology to be applied in everyday applications for producing unerring, authenticated and unimpeachable systems.

References
  1. Basma A. Omar, Amira Y. Haikal, Fayz F. Areed, "An Adaptive Neuro-Fuzzy Speed Controller for a separately excited DC Motor," International Journal of Computer Applications (0975 – 8887) Vol. 39– No. 9, February 2012
  2. Malkeet Saini and Neeraj Sharma, "Speed Control of Separately excited D. C Motor Using Computational Method", International Journal of Engineering Research & Technology (IJERT), Vol. 1 Issue 7, September 2012
  3. Salim, Jyoti Ohri, Naveen, "Speed Control of DC Motor using Fuzzy Logic based on LabVIEW", International Journal of Scientific and Research Publications, Volume 3, Issue 6, June 2013
  4. V. Chitra, and R. S. Prabhakar, "Induction Motor Speed Control using Fuzzy Logic Controller", World Academy of Science, Engineering and Technology 23 2006
  5. Jaime Fonseca, João L. Afonso, Júlio S. Martins, Carlos Couto, "Fuzzy logic speed control of an induction motor", Microprocessors and Microsystems 22 (1999) 523–534
  6. Ashok Kusagur, Shankarappa Fakirappa Kodad, Sanker Ram, "Modelling & Simulation of an ANFIS controller for an AC drive", World Journal of Modelling and Simulation Vol. 8 (2012) No. 1, pp. 36-49
  7. L. Barazane, M. Laribi and R. Ouiguini, "ANFIS Speed Controller for Vector Control of An Induction Motor", International Symposium on Environment Friendly Energies in Electrical Applications 2-4 November 2010, Ghardaïa, Algeria
  8. Ashok Kusagur, Dr. S. F. Kodad, Dr. B V. Sankar Ram, "Modeling, Design & Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Speed Control of Induction Motor", International Journal of Computer Applications (0975 – 8887) Volume 6– No. 12, September 2010
  9. Sung-Hoe Huh, Kyo-Beum Lee, Dong-Won Kim, Ick Choy, and Gwi-Tae Park, "Sensorless Speed Control System Using a Neural Network", International Journal of Control, Automation, and Systems, vol. 3, no. 4,pp. 612-619, December 2005
  10. Amit Atri, Md. Ilyas, "Speed Control of DC Motor using Neural Network Configuration", International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 5, May 2012
  11. Ashutosh Mishra, Prashant Choudhary "Artificial Neural Network Based Controller for Speed Control of an Induction Motor using Indirect Vector Control Method", International Journal of Power Electronics and Drive System (IJPEDS) Vol. 2, No. 4, December 2012, pp. 402-408
  12. C. Mohan Krishna M. Tech, G. Meerimatha M. Tech, U. Kamal Kumar M. Tech, "Indirect Vector Control of Induction Motor Using Pi Speed Controller and Neural Networks", International Journal of Modern Engineering Research (IJMER) Vol. 3, Issue. 4, Jul - Aug. 2013 pp-1980-1987
  13. Om Prakash Verma, Himanshu Gupta, "Fuzzy Logic Based Water Bath Temperature Control System", International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), Volume 2, Issue 4, April 2012
Index Terms

Computer Science
Information Sciences

Keywords

Universal motor Fuzzy Controller ANFIS controller Percentage overshoot Rise time