The Fuzzy logic method is used in Arduino to optimize the performance of the photovoltaic maximum power point tracker since the Arduino is flexible and powerful software as well. An MPPT has been designed, which consisting of single inverting type of buck-boost converter to control the duty cycle of the pulse width modulation signal generated by and based on the algorithm of fuzzy logic controller where feedbacks were taken from a voltage sensor and a current sensor. A150 WP photovoltaic panel is used in this experiment, where the regulated voltage is produced by a MOSFET that is controlled with Arduino. An Op-Amp is needed to help simplifying the circuit in reading some feedbacks. The change of voltage and current from photovoltaic module is depend on the environment condition (irradiance and temperature) and load that connected at the moment. The vagueness of voltage changes is processed through fuzzy logic controller to control the duty cycle of PWM so the output voltage will be found constantly at 14.0 V at maximum power point and the load that is used is a 12 V 7.2 Ah Lead-Acid Battery.

Topics
Operational amplifier, Field effect transistors, Buck-boost converter, Photovoltaics, Batteries, Solar panels, Maximum power point tracking, Sensors, Pulse width modulation, Fuzzy logic
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