Design and experimental validation of an intelligent controller for DC–DC buck converters

Abstract

In this paper, an adaptive fuzzy synergetic controller(AFSC) is designed around a dSpace based experimental setup to provide robust DC–DC buck converter voltage control. Upholding high performance is a challenging task when operating a system under varying operating conditions and parameters uncertainties as is the case when dealing with DC–DC converter control. Fuzzy systems are used to approximate converter dynamics assumed, in this paper, to be unknown (accurate mathematical model is thus considered unavailable). Synergetic control is used to construct a robust continuous control law easy to implement despite varying operating conditions. The combination of these two techniques results in an intelligent robust DC–DC converter control. Unlike many works published, the present paper provides experimental results which corroborate the given analytical stability proof of the closed-loop system and confirm the system signals boundedness. Simulation results followed by experimental validation show that the proposed controller is able to achieve satisfactory voltage regulation performances over system parameters uncertainties, reference output voltage changes, load changes and source voltage variations.