Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Website thesai.org
Follow Us
Contact Info
Follow Us
Research Article | Open Access |

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) · Vol. 6, No. 10 · Published 2015

DOI: https://doi.org/10.14569/IJACSA.2015.061019

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

How to Cite this Article

Amel, T., Ammar, M., & Nadjiba, T. (2015). Design of ANFIS Estimator of Permanent Magnet Brushless DC Motor Position for PV Pumping System. International Journal of Advanced Computer Science and Applications, 6(10). https://doi.org/10.14569/IJACSA.2015.061019

Amel, TERKI, et al.. "Design of ANFIS Estimator of Permanent Magnet Brushless DC Motor Position for PV Pumping System." International Journal of Advanced Computer Science and Applications, vol. 6, no. 10, 2015, https://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},
  volume    = {6},
  number    = {10},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {TERKI Amel and MOUSSI Ammar and TERKI Nadjiba},
  doi       = {10.14569/IJACSA.2015.061019},
  url       = {https://doi.org/10.14569/IJACSA.2015.061019}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.