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DOI: 10.14569/IJACSA.2015.061019
PDF

Design of ANFIS Estimator of Permanent Magnet Brushless DC Motor Position for PV Pumping System

Author 1: TERKI Amel
Author 2: MOUSSI Ammar
Author 3: TERKI Nadjiba

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 10, 2015.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: This paper presents a new scheme for PMBLDC (permanent magnet brushless direct current) rotor position estimation based an ANFIS (adaptive network fuzzy inference system) estimator. The operation of such motor requires accurate rotor position knowledge. However, most of rotor position sensors produce undesirable effects such as mechanical losses and have other disadvantages. In order to overcome the disadvantages, sensorless scheme seems to offer great advantages. This work present an ANFIS estimator design. Combining the adaptive capability of the neural network to gather with the reasoning ability of the fuzzy logic in ANFIS modeling results in a fast responding and flexible model. This procedure lends itself perfectly adapted for complex system such as PV pumping systems.

Keywords: Photovoltaic system; Brushless DC motor; ANFIS estimator; Speed controller

TERKI Amel, MOUSSI Ammar and TERKI Nadjiba, “Design of ANFIS Estimator of Permanent Magnet Brushless DC Motor Position for PV Pumping System” International Journal of Advanced Computer Science and Applications(IJACSA), 6(10), 2015. http://dx.doi.org/10.14569/IJACSA.2015.061019

@article{Amel2015,
title = {Design of ANFIS Estimator of Permanent Magnet Brushless DC Motor Position for PV Pumping System},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.061019},
url = {http://dx.doi.org/10.14569/IJACSA.2015.061019},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {10},
author = {TERKI Amel and MOUSSI Ammar and TERKI Nadjiba}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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