Implementation and performance analysis of fuzzy logic and PI controlled non-inverting buck-boost converter

The wide input and output voltage range of the non-inverting buck-boost converter makes it appropriate for usage in several applications, which is a considerable advantage. The literature offers several control techniques for the efficient regulation of non-inverting buck-boost converters; however, this study concentrates on the application of fuzzy logic and conventional PI control techniques, comparing their performance characteristic in response to changes in system parameters. The fuzzy logic rules were developed from the linguistic interpretation of the converter response. The viability of the converter under ideal operating conditions using an equivalent circuit model is demonstrated by the theoretical computations utilizing the MATLAB/Simulink simulation environment. Using pre-calculated circuit characteristics, simulations were run for both control strategies with a varied reference voltage and load conditions. The converter was also actualized for further study of the control approaches under varied operating conditions. The Fuzzy logic and PI controlled buck-boost converters were studied for converter response for the application of each control approach using similar reference voltage and load fluctuations. The actual circuit's performance characteristics with respect to variation in operating conditions demonstrate congruence with the simulated result, but with some minor differences due to the limitations of some real components. In conclusion, it was observed that the fuzzy logic control approach outperforms conventional PI control methodology under a wide range of operation parameters, as evidenced by simulation and actual results in terms of response speed, However, the PI controller outperformed the fuzzy logic in instances where reference voltage changes from high to low values due to the absence of output voltage overshoots.