Table of Contents
Advances in Electrical Engineering
Volume 2017, Article ID 5620830, 9 pages
Research Article

Comparative Analysis of Fuzzy Logic and PI Controller Based Electronic Load Controller for Self-Excited Induction Generator

Department of Electrical and Electronics Engineering, Oriental Institute of Science and Technology, Bhopal, India

Correspondence should be addressed to Eshani Mishra; moc.liamg@93inahse

Received 10 August 2016; Revised 20 October 2016; Accepted 11 June 2017; Published 6 August 2017

Academic Editor: Pascal Venet

Copyright © 2017 Eshani Mishra and Sachin Tiwari. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Rural areas suffer from limited grid connectivity. Small hydroplants can provide electricity at a cheap cost with low environmental impact in these regions. Self-excited induction generators are widely used in hydroplants since they operate on a standalone basis because of the connection of capacitor bank that provides reactive power at no load. However, SEIGs suffer from poor voltage and frequency regulation. Thus, an electronic load controller (ELC) is connected across SEIG to regulate voltage and frequency. Generally, the control scheme for an ELC circuit is based on the conventional proportional integral control, which is easy to implement and performs well under linear load conditions. However, PI controllers handle nonlinearity poorly. This paper presents a fuzzy logic control (FLC) based control scheme for ELC in a constant power generation system (SEIG). The control scheme is designed and simulated in MATLAB under both linear and nonlinear load conditions. A comparison of both the controllers is conducted which highlights the superiority of the fuzzy logic control scheme.