Research Article

Meta-heuristic algorithm-based optimal PID controller design for Power Converters

Volume: 1 Number: 2 September 5, 2021
EN

Meta-heuristic algorithm-based optimal PID controller design for Power Converters

Abstract

The DC-DC converters are one of the important components of the renewable energy systems. In this study, meta-heuristic-based intelligent control schemes are applied, such as, proportional-integrator (PI), proportional-derivative (PD) and proportional-integrator-derivative (PID) control. The gain parameters of the PID controlled DC-DC buck or step-down converter is optimized with the artificial bee colony (ABC) algorithm. The obtained results indicate that PID control is better than the others.

Keywords

References

  1. [1] Xiao S., Wang H., Wang W., Huang Z., Zhou X., Xu M. “Artificial bee colony algorithm based on adaptive neighborhood search and Gaussian perturbation”, Applied Soft Computing Journal 100 (2021) 106955, doi: 10.1016/j.asoc.2020.106955.
  2. [2] Ma L., Zhang Y., Yang X., Ding S., Dong L. “Quasi-Continuous Second-Order Sliding Mode Control of Buck Converter”, IEEE Access 6(2018) 17859-17867, doi: 10.1109/ACCESS.2018.2795027.
  3. [3] Yang J, Wu B., Li S., Yu X. “Design and qualitative robustness analysis of an DOBC approach for DC-DC buck converters with unmatched circuit parameter perturbations”, IEEE Trans. Circuits Syst. I, Reg. Papers 63(4) (2016), 551-560, doi: 10.1109/TCSI.2016.2529238.
  4. [4] Ding S., Zheng W., Sun J., Wang J. “Second-order sliding mode controller design and its implementation for buck converters”, IEEE Trans. Ind. Informatics 14,(5) (2018),1990-2000, doi: 10.1109/TII.2017.2758263.
  5. [5] Yuan Y., Chang C., Zhou Z., Huang X., Xu Y. “Design of a Single-Input Fuzzy PID controller based on genetic optimization scheme for DC-DC buck converter”, International Symposium on Next-Generation Electronics (ISNE), 4-6 May 2015, Taipei, (2015) 1-4, doi: 10.1109/ISNE.2015.7131965.
  6. [6] Shyama M., Swaminathan P. “Digital linear and nonlinear controllers for buck converter”, International Journal of Soft Computing and Engineering 2(1) (2012) 336-342, Retrieval Number: A0447022112/2012©BEIESP.
  7. [7] Sonmez Y., Ayyıldız O., Kahraman H.T., Guvenc U., Duman S. “Improvement of buck converter performance using Artificial Bee Colony optimized-PID controller”, Journal of Automation and Control Engineering 3(4), (2015) 304-310, doi: 10.12720/joace.3.4.304-310.
  8. [8] Hekimoğlu B., Ekinci S. “Optimally Designed PID Controller for a DC-DC Buck Converter via a Hybrid Whale Optimization Algorithm with Simulated Annealing”, Electrica 20(1) (2020) 19-27, doi: 10.5152/electrica.2020.19034.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

September 5, 2021

Submission Date

July 6, 2021

Acceptance Date

August 27, 2021

Published in Issue

Year 2021 Volume: 1 Number: 2

APA
Demircan, C., Güler, O. V., & Keçebaş, A. (2021). Meta-heuristic algorithm-based optimal PID controller design for Power Converters. Advances in Artificial Intelligence Research, 1(2), 67-72. https://izlik.org/JA44BU23EH
AMA
1.Demircan C, Güler OV, Keçebaş A. Meta-heuristic algorithm-based optimal PID controller design for Power Converters. Adv. Artif. Intell. Res. 2021;1(2):67-72. https://izlik.org/JA44BU23EH
Chicago
Demircan, Cihan, Onur Vahip Güler, and Ali Keçebaş. 2021. “Meta-Heuristic Algorithm-Based Optimal PID Controller Design for Power Converters”. Advances in Artificial Intelligence Research 1 (2): 67-72. https://izlik.org/JA44BU23EH.
EndNote
Demircan C, Güler OV, Keçebaş A (September 1, 2021) Meta-heuristic algorithm-based optimal PID controller design for Power Converters. Advances in Artificial Intelligence Research 1 2 67–72.
IEEE
[1]C. Demircan, O. V. Güler, and A. Keçebaş, “Meta-heuristic algorithm-based optimal PID controller design for Power Converters”, Adv. Artif. Intell. Res., vol. 1, no. 2, pp. 67–72, Sept. 2021, [Online]. Available: https://izlik.org/JA44BU23EH
ISNAD
Demircan, Cihan - Güler, Onur Vahip - Keçebaş, Ali. “Meta-Heuristic Algorithm-Based Optimal PID Controller Design for Power Converters”. Advances in Artificial Intelligence Research 1/2 (September 1, 2021): 67-72. https://izlik.org/JA44BU23EH.
JAMA
1.Demircan C, Güler OV, Keçebaş A. Meta-heuristic algorithm-based optimal PID controller design for Power Converters. Adv. Artif. Intell. Res. 2021;1:67–72.
MLA
Demircan, Cihan, et al. “Meta-Heuristic Algorithm-Based Optimal PID Controller Design for Power Converters”. Advances in Artificial Intelligence Research, vol. 1, no. 2, Sept. 2021, pp. 67-72, https://izlik.org/JA44BU23EH.
Vancouver
1.Cihan Demircan, Onur Vahip Güler, Ali Keçebaş. Meta-heuristic algorithm-based optimal PID controller design for Power Converters. Adv. Artif. Intell. Res. [Internet]. 2021 Sep. 1;1(2):67-72. Available from: https://izlik.org/JA44BU23EH

88x31.png
Advances in Artificial Intelligence Research is an open access journal which means that the content is freely available without charge to the user or his/her institution. All papers are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which allows users to distribute, remix, adapt, and build upon the material in any medium or format for non-commercial purposes only, and only so long as attribution is given to the creator.

Graphic design @ Özden Işıktaş