ISBN: 978-981-18-3959-7 DOI: 10.18178/wcse.2022.06.051
Implementation of Particle Swarm Optimization in Fuzzy Logic Controller for an Improved Transient Response of a DC/DC Buck-boost Converter
Abstract— The computational efficiency of the PSO inspired us to optimize an FLC controller used in a dc/dc buck-boost converter for an improved transient response. The main objective of the study is to implement PSO as the tuning algorithm for the Fuzzy Logic Controlled buck-boost converter. A simulation setup was developed through MATLAB/Simulink to simulate a PSO tuned FLC controlled buck-boost converter. The PSO algorithm was coded in MATLAB and was able to tune the FLC. Results showed that the input MF of the FLC was successfully tuned by PSO and was able to give a mean difference of 1.0065 in peak overshoot ratio, 1.0841 voltage deviation ratio, 0.3861s in peak time, 0.3538s in rise time, and 1.0968s in settling time. Overall, the PSO tuned FLC controlled buck-boost converter gave a significantly better performance than that of the untuned FLC controlled buck-boost converter.
Index Terms—fuzzy logic controller; particle swarm optimization; buck-boost converter; matlab/simulink
Marcial Cornejo, Carlos Joseph Dagsaan, Conrado Ostia Jr.
School of Electrical, Electronics and Computer Engineering, Mapúa University, PHILIPPINES
Cite:Marcial Cornejo, Carlos Joseph Dagsaan, Conrado Ostia Jr., "Implementation of Particle Swarm Optimization in Fuzzy Logic Controller for an Improved Transient Response of a DC/DC Buck-boost Converter, " Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering (WCSE 2022), pp. 358-364, June 24-27, 2022.