A Comparative Study of DC-DC Buck, Boost, and Buck-boost Converters with Proportional-integral, Sliding Mode, and Fuzzy Logic Controllers

Abstract

Background: DC-DC converters are utilized in a wide range of industrial and commercial applications such as automobiles, renewable energy systems, DC motor control, portable chargers, uninterruptable power supply, etc. because of their efficiency, ease of use, simpler circuits, and cheaper solution. The most common ones are the buck, boost, and buck-boost converters. Methodology: In this paper, the implementation of these converters has been proposed using advanced controllers: Proportional plus Integral (PI), Sliding Mode Control (SMC), and Fuzzy Logic Control (FLC). The controllers have been implemented with practical circuit values in MATLAB Simulink. Results: The results show that all proposed controllers can track the input set-point voltage. The PI controller response was superior in eliminating the steady-state error in all converters. However, it showed greater overshoot and ripple factor in boost operation. The SMC controller response was superior in terms of the shortest settling time. However, it showed the greatest peak time in buck converter and boost mode of the buck-boost converter. The FLC controller showed the highest settling time and steady-state error in all operations. Novelty and Significance: The proposed work is novel as compared to others available in the literature such that no such comprehensive study was found with all types of DC-DC converters together up to our best knowledge. The proposed work is significant as it will give complete guidance regarding simulation implementation of DC-DC converters with advanced intelligent control algorithms.