Fuzzy PWM based on Genetic Algorithm for battery charging

Traditional fuzzy logic systems often need the expert knowledge to build the rule table and membership function. This paper uses an easily fulfilled and systematic design approach to construct fuzzy control together with Genetic Algorithm (GA) to tune corresponding membership functions. The proposed pulse width modulation (PWM) control strategy based on fuzzy logic systems applies to charge batteries for buck converter. This paper accomplishes the two-stage batter charging, constant voltage mode and constant current mode, shown in following figures.