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     Research Journal of Applied Sciences, Engineering and Technology


Performance of a Sensorless SRM Drive Fed from a Photovoltaic System

Ahmed S. Oshaba
Electronics Research Institute, Power Electronics and Energy Conversions NRC Blg., El-Tahrir St., Dokki, 12311-Giza, Egypte
Research Journal of Applied Sciences, Engineering and Technology  2013  17:3165-3173
http://dx.doi.org/10.19026/rjaset.6.3619  |  © The Author(s) 2013
Received: January 14, 2013  |  Accepted: February 18, 2013  |  Published: September 20, 2013

Abstract

The study presents the development and implementation of a new sensorless algorithm for estimating the rotor position at a wide range of operating conditions. The algorithm is designed to overcome difficulties in estimating the rotor position at starting as well as at the normal operation region. The algorithm is successfully implemented experimentally using SRM fed from a photovoltaic source which has a nonlinear operating nature. The results show improved performance at starting as well as when step changes in converter duty ratio or insulation levels occur. The results demonstrate clearly that the new algorithm ensures smooth starting without initial hesitation and reduces the torque ripples. The results presented are of prime importance to manufacturing companies leading to low cost reliable SRM drive systems for various industrial applications.

Keywords:

PV system, performance analysis of SRM, SRM, sensorless algorithms,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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