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Comparative Analysis of Fuzzy Logic and PI Controller Based Electronic Load Controller for Self-Excited Induction Generator
Author(s) -
Eshani Mishra,
Sachin Tiwari
Publication year - 2017
Publication title -
advances in electrical engineering
Language(s) - English
Resource type - Journals
eISSN - 2356-6655
pISSN - 2314-7636
DOI - 10.1155/2017/5620830
Subject(s) - control theory (sociology) , induction generator , fuzzy logic , controller (irrigation) , computer science , control engineering , ac power , nonlinear system , voltage regulation , pid controller , voltage , engineering , control (management) , electrical engineering , agronomy , physics , quantum mechanics , artificial intelligence , biology , temperature control
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

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