Fuzzy Logic Control on FPGA for Solar Tracking System

This paper proposes a control technique for solar tracking system through the processing of fuzzy logic implemented on FPGA. The control is designed by calculating and storing membership values in lookup tables as integer values which are addressed in all stages involved in the fuzzy logic system according to Mamdani rules and max–min implication model. A defuzzification method using alpha-levels is proposed. Results are presented to validate the theoretical analysis.