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Fuzzy Logic Based MPT Algorithm for Reconfigurable Photovoltaics
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DOI：10.1109/GHTC53159.2021.9612451.png)
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Abstract
En 中文
The number of fire-related incidents is increasing worldwide, which affects the local economy and environment. A terrestrial-based fire detection system that continuously monitors the essential environment parameters such as smoke, temperature, carbon monoxide, and others is one of the most effective ways to identify an occurrence of fire at infancy stages. A hybrid of battery and CMOS embedded photovoltaics (PV) will be an ideal candidate to power such a system. In this paper, fuzzy logic based model to reconfigure the PV module for maximum power transfer (MPT) to the battery is presented. To model and simulate the fuzzy logic system, we use Simulink MATLAB. The results of the system are shown to be effective in matching the load requirement with power generated, thereby maximizing the power transfer to the battery.
Keywords:
Photovoltaics (PV)
complementary metal-oxide-semiconductor (CMOS)
fuzzy logic
infra-red (IR) sensor
LIDAR
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