Fuzzy logic supervisory for multi-input step-up DC-DC Converter

The worldwide shift towards renewable energy sources is motivated by environmental issues and the growing demand for electricity. This transition requires advanced power conversion circuits that can manage energy from a wide variety of sources with varying voltage and power levels and convert it to a manageable output voltage. To overcome this problem, multi-input converters have been developed, such as high-gain DC-DC converters. These are used to convert low DC voltage to high DC voltage for DC buses or fast DC charging of electric vehicles. One type of these converters is the Two-phase interleaved boost converters, which incorporate inductors and capacitors for enhanced output voltage and reduced current ripple. Adaptive and responsive controls are essential for effective power-sharing management. Previous studies employed conventional controls such as PI and PID, which proved less effective in their application. This study proposes the use of a two-phase interleaved boost converter series topology with coupled inductors and voltage boost capacitors, regulated by separate voltage and current loop controls and managed the power-sharing using fuzzy. The proposed fuzzy logic and control system's effectiveness is evaluated and confirmed using MATLAB/Simulink simulations. The test results demonstrate that the system can operate effectively under various dynamic conditions of load changes and source voltage changes, with a voltage conversion ratio of 34.3 times and an efficiency of 87.7%. This advancement in DC-DC conversion technology has the potential to improve power supply systems in renewable energy applications.