A fuzzy PID controller optimized by genetic algorithms used for a single phase power factor pre-regulator

Abstract

An optimized fuzzy PID controller for a single-phase power factor-corrected power converter (PFC) used in an online UPS is proposed in this paper. The parameters of this fuzzy logic PID controller, such as input membership functions, output membership functions and inference rules, are selected and optimized by genetic algorithms (GA), hence the tedious and time consuming parameters tuning process normally associated with a fuzzy logic controller design is eliminated. The selection and optimization criteria is based on time domain specifications such as response time, percentage of overshoot, etc. For a step reference, the simulation shows excellent results in terms of response time and output overshoot for a step reference. This design approach provides an attractive method to select and optimize the membership functions and inference rules of a fuzzy logic controller when it is used to control a single-phase PFC power converter.