Evaluating Conventional and Hybrid Buck-Boost Converters using Fuzzy Logic Decision-Making

In this paper, a novel hybrid Buck-boost AC-DC converter with a specific control approach is investigated.These converters are crucial in modern power electronics such as consumer electronic devices, renewable energy systems, and electric vehicles.Buck-boost controls output voltage over a wide input voltage range, used in AC to DC conversion.The architecture of the converter inherits the advantages of both boost and buck topologies, leading to enhanced reliability, efficiency, and compactness.This converter simply connects as a buck converter followed by a boost converter, where a common DC link is used to connect them.By modifying the switch of the converters, the voltage that connects to the load of the novel converter can be effectively controlled.The benefit of a novel Buck-boost converter is compared in this study, using a fuzzy approach, supporting decision-making (FASDM), with a conventional converter.FASDM provides a strong basis for comparing converters and considers key performance metrics like efficiency, THD and input PF.Also, it is the best approach for deciding which converter performs better under different operating situations, since it offers the best approach for decision-making.The results show that the performance metrics of the novel converter outweigh the traditional ones by getting a 0.5 final leaving and entering flow matrix of FASDM compared to -0.5 for a traditional converter, which means a lower performance operation.Our design can be used for faster charging of EV batteries, with lower harmonics.