Development of Intelligent Solar Panel Cleaning System with Fuzzy Logic Theorem

Abstract

In this paper, an intelligent solar panel cleaning system that monitors the output of solar panels is designed. The output voltage of the solar panel is used to decide if the solar panel needs to clean or not. The control system is developed using Lab-VIEW. The direction and position of the system is set by the light sensor, which is parallel to the direction of sunlight. The data from the light sensors, along with the fuzzy logic control software developed using Lab-View determines the control commands for the stepper motors controlling the cleaning process. The commands are stop, forward or reverse and the cleaning process is repeated until the generated power output of the solar panels is sufficient. The cleaning process is performed in real-time to maintain the power generating capacity of the solar cells.

Current Practices of Solar Photovoltaic Panel Cleaning System and Future Prospects of Machine Learning Implementation

“…The use of microcontrollers and programmable logic controllers to ease the solar panel cleaning process can be seen in most of the robotic cleaners [68,69]. The fuzzy logic controlled algorithm discussed in [70,71], deals with the fuzzification of the solar irradiance value and the output current value such that defuzzification would result in decision making whether to clean or not.…”