We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

Speed Control of Permanent Magnet DC Motor by using Combination of Adaptive Controller and Fuzzy Controller

by S. Z. Moussavi, M. Alasvandi, Sh. Javadi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 20
Year of Publication: 2012
Authors: S. Z. Moussavi, M. Alasvandi, Sh. Javadi
10.5120/8316-1774

S. Z. Moussavi, M. Alasvandi, Sh. Javadi . Speed Control of Permanent Magnet DC Motor by using Combination of Adaptive Controller and Fuzzy Controller. International Journal of Computer Applications. 52, 20 ( August 2012), 11-15. DOI=10.5120/8316-1774

@article{ 10.5120/8316-1774,
author = { S. Z. Moussavi, M. Alasvandi, Sh. Javadi },
title = { Speed Control of Permanent Magnet DC Motor by using Combination of Adaptive Controller and Fuzzy Controller },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 20 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 11-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number20/8316-1774/ },
doi = { 10.5120/8316-1774 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:52:44.875620+05:30
%A S. Z. Moussavi
%A M. Alasvandi
%A Sh. Javadi
%T Speed Control of Permanent Magnet DC Motor by using Combination of Adaptive Controller and Fuzzy Controller
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 20
%P 11-15
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A novel controller based on adaptive controller and fuzzy controller for Permanent Magnet Direct Current motor is proposed in this paper. The proposed controller is compared with adaptive controller and fuzzy controller for PMDC motor. By means of simulation in MATLAB, we concluded that the proposed controller will be achieved the shorter settling time and also lower overshoot and steady state error.

References
  1. Ghazanfar Shahgholian, Pegah Shafaghi, " State space modeling and eigenvalue analysis of the permanent magnet DC motor drive system", 2nd International Conference on Electronic Computer Technology, 2010.
  2. Jasmin Velagic, Amar Galijasevic," Design of fuzzy logic control of permanent magnet DC motor under real constraints and disturbances", IEEE International Symposium on Intelligent Control, 2009.
  3. Pankaj Swarnkar, Shailendra Jain, R. K. Nema, "Effect of adaptation gain in model reference adaptive controlled second order system", Engineering, Technology & Applied Science Research, 2011.
  4. S. R. Vaishnav, Z. J. Khan, "Design and performance of PID and fuzzy logic controller with smaller rule set for higher order system", World Congress on Engineering and Computer Science, 2007.
  5. R. Shanmugasundram, K. Muhammed Zakariah, N. Yadaiah, "Digital implementation of fuzzy logic controller for wide range speed control of brushless DC motor", IEEE International Conference on Vehicular Electronics and Safety, 2009.
  6. A. Suresh kumar, M. Subba Rao, Y. S. Kishore Babu, "Model reference linear adaptive control of DC motor Using Fuzzy Controller", IEEE Region 10 Conference, 2008.
  7. M. Muruganandam, M. Madheswaran, "Modeling and simulation of modified fuzzy logic controller for various types of DC motor drives", International conference on control, automation, communication, and energy conservation, 2009.
  8. Tan Chee Siong, Baharuddin Ismail, Mohd Fayzul Mohammed, Mohd Faridun Naim Tajuddin, Siti RafidahAbd. Rahim, Zainuddin Mat Isa," Study of fuzzy and PI controller for permanent magnet brushless DC motor drive",4th International Power Engineering and Optimization Conf, 2010.
  9. Shahram Javadi, "Spatial load forecasting using fuzzy logic", WSEAS, Rio de Janeiro, Brazil, 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Controller Fuzzy Controller Permanent Magnet DC Motor