Fuzzy logic controlled DC-DC buck converter

• Main Authors: Ferrer, Jonphyll, Tan, Joseph, Tiongson, Adrian, Hong, Marc
• Format: text
• Language: English
• Published: Animo Repository 2017
• Subjects: Electric current converters; DC-to-DC converters; Fuzzy logic
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/6807
• Institution: De La Salle University

A field programmable Gate Array (FPGA) based DC-DC buck converter is implemented in this thesis. A fuzzy logic controller (FLC) is created through the FPGA, which is responsible for the pulse width modulated (PWM) signal to be inputted at the switch transistor of the buck converter. The output will be fed back to the FPGA, which will determine the error between the actual output and the desired output. With the difference acquired, the value of the PWM signal will be determined. The FLC uses a Triangular Membership Function in determining the error at the output. Two (2) output voltages are available for this thesis, with 3.3 V and 5 V, respectively, and with a load current of at least 100 mA. The output voltage can be switched with the use of an Android application installed in a smartphone, with the default output voltage being 3.3 V. This buck converter is compared to a commercially available LM2596 buck converter, conducting different tests for determining their line and regulations, the settling time, stability and accuracy of the outputs, and their overall efficiencies. The FLC based buck converter proved to have better load regulation and a higher overall efficiency than the LM2596 buck converter. The line regulation, settling time, stability, and accuracy all had inferior measurement compared to the commercial buck converter, but are still considered excellent performances.