Experimental validation of fuzzy type‐2 against type‐1 scheme applied in DC/DC converter integrated to a PEM fuel cell system

Abstract

This research presents and compares the outcomes of experimental implementations of different fuzzy logic control structures for a proton exchange membrane fuel cell (PEMFC). These devices are well known for their capability to transform chemical energy into electrical with low emissions. Commonly, a PEMFC has a linkage with a boost converter which allows a suitable end‐user voltage through a nonlinear control law. Hence, the contribution in this sense is the experimental comparison of two fuzzy logic strategies known as type‐1 and type‐2 that were implemented in a PEMFC system. The approaches were embedded in a control board dSPACE 1102 which also has the capability to acquire data. The contrast of results showed capabilities improvement against disturbances in terms of error reduction, control signal, and robustness.

Robust adaptive backstepping control of H‐bridge inverter based on type‐2 fuzzy optimization of parameters

“…F2FLC has proven to be a useful substitute in power applications. To manage the changes in voltage, current, and efficiency, T2FC is modified to the STSMC algorithm [70,71]. The fuzzy logic type sets FLC-T1 and FLC-T2 fed to the boost converter were also proposed control schemes.…”

“…Hence, the automated determination of optimal specifications for membership functions in fuzzy systems becomes essential. There are several techniques available for controlling the parameters of fuzzy logic controllers (FLCs), and among them, metaheuristic methods are particularly notable for their ability to select optimal values for the controller parameters [74][75][76][77].…”