Design and implementation of closed-loop control system for buck converter using different techniques

Abstract

Comparing between different techniques for the design and implementation of closed-loop control systems for buck converters is carried out. Controllers used for this comparison are integral, proportional plus integral (PI) controllers and artificial intelligence are represented in fuzzy logic controller (FLC) and tuned fuzzy logic controller (TFLC). Design and implementation of a control system demand the role of effective techniques that offer simple and pragmatic solutions in society to meet the performance requirements despite system disturbances and uncertainties [1]. The occurrence of nonlinear phenomena in buck converters makes their analysis and control difficult [2]. Classical linear techniques have stability limitations around the operating points [1]–[3]. Hence digital and nonlinear stabilizing control methods must be applied to ensure large-signal stability [3]. Fuzzy control has also been employed to control buck converters because of its simplicity, simplicity of design and simplicity of implementation [4], [5]–[10]. Fuzzy controllers are easily suited to nonlinear time-variant systems and do not require an accurate mathematical model for the system being controlled. They are usually designed based on expert knowledge of the converters [5]. In this survey, the design procedures of integral, proportional plus integral, fuzzy logic, and tuned fuzzy logic controllers are presented.