Power Factor Correction Based On Fuzzy Logic Controller With Average Current-Mode For DC-DC Boost Converter

Power Factor Correction (PFC) provides well-known benefits to electric power systems. These benefits include power factor correction, poor power factor penalty utility bill reductions, voltage support, release of system capacity, and reduced system losses. The performance of fuzzy logic controller only depends on the selection of membership function and Inference of fuzzy rules, fuzzy logic controllers have an advantage in coping with the time varying non-linearity of switches. The Proportional & Integral controllers (PI) controller design requires an accurate mathematical model of the plant. Also it fails to perform satisfactorily performance under various parameters such as voltage variations, nonlinearity, load disturbance, etc. The paper presents an advanced PFC technique by using average current-mode control for DC-DC boost converters. The PFC strategy uses PI controllers to correct the input current shape and fuzzy controller to control the output voltage. A model for Power Factor Correction has been formed by using the MATLAB software. The produced model has also been simulated by using fuzzy logic tools. The simulation results show that the fuzzy controller for output voltage can achieve better dynamic response than its PI counterpart under lager load disturbance and plant uncertainties. KeywordsConverter, Average current mode, Fuzzy inference systems, Fuzzy rules, Membership function.