Implementation and analysis of a fuzzy logic and sliding mode controller on a Boost DC/DC converter

DC/DC converters are primarily and practically used for switch-mode regulated power source and renewable energies such as photovoltaic or wind turbine. the principal purpose of these converters is to adapt the input with the output in other words, to preserve a consistent output voltage no matter the variations of the internal and external parameters of the converter. Different control techniques are commonly used to adapt and regulate the output voltage of these converters and make them more efficient and more robust in the event of unwanted disturbances, such as classic linear controllers for instance (proportional integrator and derivator controller PIDC) and nonlinear controllers as (fuzzy logic FLC, sliding mode controller SMC). This article presents a comparative performance of Fuzzy Logic Control (FLC) and Sliding Mode Control (SMC) on a DC/DC Boost converter submitted to different type of variations. The performance evaluation criteria depend on speed and precision of the transient response. The two proposed controllers are modeled, designed and simulated using MATLAB/SIMULINK. The results of the comparison between the two controllers confirm the effectiveness of sliding mode control in terms of rapidity and precision compared with FLC.