Open AccessDesign of A Solar MPP Charge Controller using Mamdani FIS with Generalized Bell-Shaped Membership Function
Author(s) -
Kailash Kumar Mahto,
Saptadip Saha,
Priyanath Das
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d9011.118419
Subject(s) - maximum power point tracking , photovoltaic system , control theory (sociology) , controller (irrigation) , maximum power principle , computer science , voltage , power (physics) , process (computing) , fuzzy logic , engineering , control (management) , electrical engineering , artificial intelligence , physics , inverter , agronomy , quantum mechanics , biology , operating system
This research work proposes an innovative control technique for monitoring the maximum power point of the standalone photovoltaic system fast and precisely at variable solar cell temperature and insolation. In this work, the method uses a Mamdani FIS based fuzzy logic controller which uses bell shaped membership function to track MPPT of the off grid solar module. A sampling process is used to measure the PV array power and voltage that decides an optimal increment of sample which is required to get the optimal operating voltage that permits maximum power tracking. This method provides high accuracy and reliable result around the optimum point. This proposed controller has shown a better performance compare to existing methods with a power conversion efficiency of ~100%. Different steps of designed controller with the proposed method has been shown along with its simulation.