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Improvement of Buck Converter Performance Using Artificial Bee Colony Optimized-PID Controller

Yusuf Sonmez 1, Ozcan Ayyildiz 1, H. Tolga Kahraman 2, Ugur Guvenc 3, and Serhat Duman 3
1. Department of Electrical and Energy, Gazi Vocational College, Gazi University, Turkey
2. Department of Software Engineering, Technology Faculty, Karadeniz Technical University, Turkey
3. Department of Electrical and Electronics Engineering, Technology Faculty, Duzce University, Turkey
Abstract—In this study, Artificial Bee Colony (ABC) algorithm is proposed to determine gain parameters of the PID algorithm for controlling a designed buck converter. Study aims to improve the performance of buck converter via ABC-PID. Genetic Algorithm (GA) based PID is used also to control the converter in order to investigate the performance of the proposed algorithm on the system. Experiments with different cases are done via simulations. In the simulations, settling time, steady-state error and readjustment time of output voltage in cases of load variation are analyzed in order to determine the performance of the proposed algorithm. Results obtained from simulations are shows that ABC-PID controlled converter has superior performance than GA-PID controlled buck converter.

Index Terms—artificial bee colony algorithm, PID, buck converter

Cite: Yusuf Sonmez, Ozcan Ayyildiz, H. Tolga Kahraman, Ugur Guvenc, and Serhat Duman, "Improvement of Buck Converter Performance Using Artificial Bee Colony Optimized-PID Controller," Jounal of Automation and Control Engineering, Vol. 3, No. 4, pp. 304-310, August, 2015. doi: 10.12720/joace.3.4.304-310
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