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Year 2018, Volume: 22 Issue: 5, 1267 - 1273, 01.10.2018

Gülçin Mühürcü Ercan Köse Aydın Muhurcu Meliha Özdemir

https://doi.org/10.16984/saufenbilder.327296

Abstract


References

  • Referans1 M. Yaqoob, Z. Jianhua, F. Nawaz, T. Ali, U. Saeed and R. Qaisrani, "Optimization in transient response of dc-dc Buck converter using firefly algorithm," 16th International Conference on Harmonics and Quality of Power, 2014.
  • Referans2 D. Karaboğa, "Yapay zeka optimizasyon algoritmaları," Atlas Yayınları Book Co. Ltd., isbn: 9786051337647, 2004.
  • Referans3 H. Eldem, "Karınca koloni optimizasyonu ve parçacık sürü optimizasyonu algoritmaları temelli bir hiyerarşik yaklaşım geliştirilmesi," Selçuk University documantation, 2014. [Online]. Available: http://acikerisim.selcuk.edu.tr:8080/xmlui/handle/123456789/3806. [Accessed: 25- January-2017].
  • Referans4 T. Apostolopoulos and A. Vlachos, “Application of the firefly algorithm for solving the economic emissions load dispatch problem”, International Journal of Combinatorics, vol. 2011, pp. 1-23, 2010.
  • Referans5 X. Li, M. Chen and Y. Tsutomu "A method of searching PID controller's optimized coefficients for Buck converter using particle swarm optimization," IEEE 10th International Conference on Power Electronics and Drive Systems, pp. 238-243, 2013.
  • Referans6 S. A. Emami, M. Bayati Poudeh and S. Eshtehardiha,"Particle swarm optimization for improved performance of pid controller on Buck converter," IEEE International Conference on Mechatronics and Automation, pp. 520-524, 2008.
  • Referans7 A. Jalilvand, H.Vahedi and A. Bayat, "Optimal tuning of the PID controller for Buck converter using bacterial foraging algorithm," International Conference on Intelligentand Advanced Systems, pp. 185-190, 2010.
  • Referans8 A. Mühürcü, E. Köse, “The control of a non-linear chaotic system using genetic and particle swarm based on optmization algorithms,” International Journal of Intelligent Systems and Applications in Engineering, vol.4, no. 4, pp. 145-149, 2016.

PI Parameter Optimization By Fairly Algorithm For Optimal Controlling Of A Buck Converter's Output State Variable

Year 2018, Volume: 22 Issue: 5, 1267 - 1273, 01.10.2018

Gülçin Mühürcü Ercan Köse Aydın Muhurcu Meliha Özdemir

https://doi.org/10.16984/saufenbilder.327296

Abstract

In this paper, Buck converter circuit that is a power electronics circuit topology is handled. The dynamic
behavior of the DC voltage level which is the output magnitude of the circuit has been optimally
controlled. The discrete time PI algorithm is chosen as the controller. In order to keep the control process
cost low level, Kp and Ki which are controller parameters were optimized. Firefly algorithm (FA), which
is an iterative algorithm for optimization, has been run for the purpose. Concurrent studies of the control
process have been realized on Matlab-Simulink platform and the results were argued  

Keywords

fairly algorithm optimization parameter pi controller descrite time Buck converter

References

  • Referans1 M. Yaqoob, Z. Jianhua, F. Nawaz, T. Ali, U. Saeed and R. Qaisrani, "Optimization in transient response of dc-dc Buck converter using firefly algorithm," 16th International Conference on Harmonics and Quality of Power, 2014.
  • Referans2 D. Karaboğa, "Yapay zeka optimizasyon algoritmaları," Atlas Yayınları Book Co. Ltd., isbn: 9786051337647, 2004.
  • Referans3 H. Eldem, "Karınca koloni optimizasyonu ve parçacık sürü optimizasyonu algoritmaları temelli bir hiyerarşik yaklaşım geliştirilmesi," Selçuk University documantation, 2014. [Online]. Available: http://acikerisim.selcuk.edu.tr:8080/xmlui/handle/123456789/3806. [Accessed: 25- January-2017].
  • Referans4 T. Apostolopoulos and A. Vlachos, “Application of the firefly algorithm for solving the economic emissions load dispatch problem”, International Journal of Combinatorics, vol. 2011, pp. 1-23, 2010.
  • Referans5 X. Li, M. Chen and Y. Tsutomu "A method of searching PID controller's optimized coefficients for Buck converter using particle swarm optimization," IEEE 10th International Conference on Power Electronics and Drive Systems, pp. 238-243, 2013.
  • Referans6 S. A. Emami, M. Bayati Poudeh and S. Eshtehardiha,"Particle swarm optimization for improved performance of pid controller on Buck converter," IEEE International Conference on Mechatronics and Automation, pp. 520-524, 2008.
  • Referans7 A. Jalilvand, H.Vahedi and A. Bayat, "Optimal tuning of the PID controller for Buck converter using bacterial foraging algorithm," International Conference on Intelligentand Advanced Systems, pp. 185-190, 2010.
  • Referans8 A. Mühürcü, E. Köse, “The control of a non-linear chaotic system using genetic and particle swarm based on optmization algorithms,” International Journal of Intelligent Systems and Applications in Engineering, vol.4, no. 4, pp. 145-149, 2016.
There are 8 citations in total.

Details

Primary Language English
Subjects Electrical Engineering
Journal Section Research Articles
Authors

Gülçin Mühürcü This is me

Ercan Köse

Aydın Muhurcu

Meliha Özdemir This is me

Publication Date October 1, 2018
Submission Date July 7, 2017
Acceptance Date February 14, 2018
Published in Issue Year 2018 Volume: 22 Issue: 5

Cite

APA Mühürcü, G., Köse, E., Muhurcu, A., Özdemir, M. (2018). PI Parameter Optimization By Fairly Algorithm For Optimal Controlling Of A Buck Converter’s Output State Variable. Sakarya University Journal of Science, 22(5), 1267-1273. https://doi.org/10.16984/saufenbilder.327296
AMA Mühürcü G, Köse E, Muhurcu A, Özdemir M. PI Parameter Optimization By Fairly Algorithm For Optimal Controlling Of A Buck Converter’s Output State Variable. SAUJS. October 2018;22(5):1267-1273. doi:10.16984/saufenbilder.327296
Chicago Mühürcü, Gülçin, Ercan Köse, Aydın Muhurcu, and Meliha Özdemir. “PI Parameter Optimization By Fairly Algorithm For Optimal Controlling Of A Buck Converter’s Output State Variable”. Sakarya University Journal of Science 22, no. 5 (October 2018): 1267-73. https://doi.org/10.16984/saufenbilder.327296.
EndNote Mühürcü G, Köse E, Muhurcu A, Özdemir M (October 1, 2018) PI Parameter Optimization By Fairly Algorithm For Optimal Controlling Of A Buck Converter’s Output State Variable. Sakarya University Journal of Science 22 5 1267–1273.
IEEE G. Mühürcü, E. Köse, A. Muhurcu, and M. Özdemir, “PI Parameter Optimization By Fairly Algorithm For Optimal Controlling Of A Buck Converter’s Output State Variable”, SAUJS, vol. 22, no. 5, pp. 1267–1273, 2018, doi: 10.16984/saufenbilder.327296.
ISNAD Mühürcü, Gülçin et al. “PI Parameter Optimization By Fairly Algorithm For Optimal Controlling Of A Buck Converter’s Output State Variable”. Sakarya University Journal of Science 22/5 (October 2018), 1267-1273. https://doi.org/10.16984/saufenbilder.327296.
JAMA Mühürcü G, Köse E, Muhurcu A, Özdemir M. PI Parameter Optimization By Fairly Algorithm For Optimal Controlling Of A Buck Converter’s Output State Variable. SAUJS. 2018;22:1267–1273.
MLA Mühürcü, Gülçin et al. “PI Parameter Optimization By Fairly Algorithm For Optimal Controlling Of A Buck Converter’s Output State Variable”. Sakarya University Journal of Science, vol. 22, no. 5, 2018, pp. 1267-73, doi:10.16984/saufenbilder.327296.
Vancouver Mühürcü G, Köse E, Muhurcu A, Özdemir M. PI Parameter Optimization By Fairly Algorithm For Optimal Controlling Of A Buck Converter’s Output State Variable. SAUJS. 2018;22(5):1267-73.
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