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Uygunluk Mesafe Dengesi Tabanlı Yapay Ekosistem Optimizasyon Algoritması ile Otomatik Gerilim Regülatörü Sistemi için Denetleyici Tasarımı

Yıl 2023, , 203 - 214, 27.10.2023

Muhammet Demirbaş , Serhat Duman , Mehmet Kenan Döşoğlu

https://doi.org/10.46387/bjesr.1273489

Öz

Güç sistemlerinde kullanılan cihazlar nominal gerilimlerinde çalışmak üzere tasarlanmıştır. Senkron generatörlerin terminal gerilimlerinde yaşanan değişimler bu cihazların ömürlerinin kısalmasına neden olabilir. Bu değişimleri ortadan kaldırmak için senkron generatörler uyartım akımlarını düzenleyen Otomatik Gerilim Regülatörü (OGR) sistemleri ile donatılmaktadır. OGR sistemlerinde kullanılan denetleyicilerin tasarımı sistem performansı için önemli bir konudur. Bu çalışmada Uygunluk Mesefe Dengelesi (FDB) yöntemi ile geliştirilmiş Yapay Ekosistem Tabanlı Optimizasyon (AEO) algoritması kullanılarak PID-OGR ve FOPID-OGR sistemlerinin tasarımı yapılmıştır. Tasarımı yapılan sistemler adım yanıtı ve frekans yanıtı açısından literatürde daha önce yapılmış olan benzer çalışmalarla karşılaştırılmıştır. Analiz sonuçları FDB-AEO algoritması ile tasarlanan PID ve FOPID denetleyicili OGR sistemlerinin performanslarındaki üstünlüğü göstermiştir.

Anahtar Kelimeler

Otomatik Gerilim Regülatörü (OGR) Uygunluk Mesafe Dengesi (FDB) Yapay Ekosistem Tabanlı Optimizasyon (AEO) FOPID

Kaynakça

  • S. Habib, G. Abbas, T.A. Jumani, A.A. Bhutto, S. Mirsaeidi, and E.M. Ahmed “Improved whale optimization algorithm for transient response, robustness, and stability enhancement of an automatic voltage regulator system,” Energies , vol. 15, no. 14, 5037, 2022.
  • B. Ozgenc, M.S. Ayas, and I.H. Altas “Performance improvement of an AVR system by symbiotic organism search algorithm-based PID-F controller,” Neural Computing and Applications, vol. 34, pp. 7899-7908, 2022.
  • A. Sikander, and P. Thakur “A new control design strategy for automatic voltage regulator in power system ,” ISA transactions, vol. 100, pp. 235-243, 2020.
  • M. Ćalasan, M. Micev, Ž. Djurovic, and H.M.A. Mageed “Artificial ecosystem-based optimization for optimal tuning of robust PID controllers in AVR systems with limited value of excitation voltage,” The International Journal of Electrical Engineering and Education, 2020.
  • A.K. Bhullar, R. Kaur, and S. Sondhi “Enhanced crow search algorithm for AVR optimization. Soft Computing,” Soft Computing, vol. 24, pp. 11957-11987, 2020.
  • P. Govindan “Evolutionary algorithms-based tuning of PID controller for an AVR system,” International Journal of Electrical & Computer Engineering, vol. 10, no. 3, pp. 3047-3056, 2020.
  • E. Köse “Optimal control of AVR system with tree seed algorithm-based PID controller,” IEEE Access, vol. 8, pp. 89457-89467, 2020.
  • N. Pachauri “Water cycle algorithm-based PID controller for AVR,” COMPEL-The international journal for computation and mathematics in electrical and electronic engineering, vol. 39, no. 3, pp. 551-567, 2020.
  • M. Micev, M. Ćalasan, and D. Oliva "Design and robustness analysis of an Automatic Voltage Regulator system controller by using Equilibrium Optimizer algorithm," Computers and Electrical Engineering, vol. 89, p. 106930, 2021.
  • A. Sikander, P. Thakur, R.C. Bansal, and S. Rajasekar “A novel technique to design cuckoo search based FOPID controller for AVR in power systems,” Computers and Electrical Engineering, vol. 70, pp. 261-274, 2018.
  • B. Bourouba, S. Ladaci, and H. Schulte “Optimal design of fractional order PIλDμ controller for an AVR system using Ant Lion Optimizer,” IFAC-PapersOnLine, vol. 52, no. 13, 200205, 2019.
  • I.A. Khan, A.S. Alghamdi, T.A. Jumani, A. Alamgir, A.B. Awan, and A. Khidrani “Salp swarm optimization algorithm-based fractional order PID controller for dynamic response and stability enhancement of an automatic voltage regulator system, vol. 8, no. 12, pp. 1472, 2019.
  • T.A. Jumani, M.W. Mustafa, Z. Hussain, M.M. Rasid, M.S. Saeed, M.M. Memon, I. Khan, and K.S. Nisar “Jaya optimization algorithm for transient response and stability enhancement of a fractional-order PID based automatic voltage regulator system,” Alexandria Engineering Journal, vol. 59, no. 4, pp. 2429-2440, 2020.
  • S.M.A. Altbawi, A.S.B. Mokhtar, T.A. Jumani, I. Khan, N.N. Hamadneh, and A. Khan “Optimal design of Fractional order PID controller based Automatic voltage regulator system using gradient-based optimization algorithm”, Journal of King Saud University-Engineering Sciences, 2021.
  • V.K. Munagala, and R.K. Jatoth ”Improved fractional PIλDμ controller for AVR system using Chaotic Black Widow algorithm,” Computers and Electrical Engineering, vol. 97, p. 107600, 2022.
  • J.G. Ziegler, and N.B. Nichols “Optimum settings for automatic controllers,” Transactions of the American society of mechanical engineers, vol. 64, no. 8, pp. 759-765, 1942.
  • C.C. Hang, B. K.J. Åström, and W.K. Ho “Refinements of the Ziegler–Nichols tuning formula,” In IEE Proceedings D (Control Theory and Applications), vol. 138, no. 2, pp. 111-118, 1991.
  • Q.G. Wang, T.H. Lee, H.W. Fung, Q. Bi, and Y. Zhang “PID tuning for improved performance,” IEEE Transactions on control systems technology, vol. 7, no. 4, pp. 457-465, 1999.
  • M.A. Sabib, and B.S. Ahmed “A new multiobjective performance criterion used in PID tuning optimization algorithms,” Journal of advanced research, vol. 7, no. 1, pp. 125-134, 2016.
  • H. Rezaei, O. Bozorg-Haddad, and X. Chu “Grey wolf optimization (GWO) algorithm,” Advanced optimization by nature-inspired algorithms, pp. 81-91, 2018.
  • E. Çelik “Incorporation of stochastic fractal search algorithm into efficient design of PID controller for an automatic voltage regulator system,” Neural Computing and Applications, vol. 30, pp. 1991-2002, 2018.
  • B. Ozgenc, M.S. Ayas, and I.H. Altas “Performance improvement of an AVR system by symbiotic organism search algorithm-based PID-F controller,” Neural Computing and Applications, vol. 34, pp. 7899-7908, 2022.
  • W. Zhao, L. Wang, and Z. Zhang “Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm,” Neural Computing and Applications, vol. 32, pp. 9383-9425, 2020.
  • M.S. Ayas, and E. Sahin “FOPID controller with fractional filter for an automatic voltage regulator,” Computers and Electrical Engineering, vol. 90, p. 106895, 2021.
  • R. Pradhan, S.K. Majhi, and B.B. Pati “Design of PID controller for automatic voltage regulator system using Ant Lion Optimizer,” World Journal of Engineering, vol.15, no.3, pp. 373-387, 2018.
  • A.M. Mosaad, M.A. Attia, and A.Y. Abdelaziz “Comparative performance analysis of AVR controllers using modern optimization techniques,” Electric Power Components and Systems, vol. 46, no. 19-20, pp. 2117-2130, 2018.
  • A.G. Suri babu, B.T. Chiranjeevi “Implementation of fractional order PID controller for an AVR system using GA and ACO optimization techniques,” IFAC-PapersOnLine, vol. 49, no. 1, pp. 456-461, 2016.
  • Y. Zhou, J. Zhang, X. Yang, and Y. Ling “Optimization of PID controller based on water wave optimization for an automatic voltage regulator system,” Information Technology and Control, vol. 48, no. 1, pp. 160-171, 2019.
  • I.A. Khan, A.S. Alghamdi, T.A. Jumani, A. Alamgir, A.B. Awan, and A. Khidrani “Salp swarm optimization algorithm-based fractional order PID controller for dynamic response and stability enhancement of an automatic voltage regulator system,” Electronics, vol. 8, no. 12, pp. 1472, 2019.
  • I. Eke, M. Saka, H. Gozde, Y. Arya, and M.C. Toplamacioglu “Heuristic optimization based dynamic weighted state feedback approach for 2DOF PI-controller in automatic voltage regulator,” Engineering Science and Technology, an International Journal, vol. 24, no. 4, pp. 899-910, 2021.
  • S. Ekinci, A. Demirören, H.L. Zeynelgil, and, S. Kaya “Design of PID controller for automatic voltage regulator system through kidney-inspired algorithm, GU J Sci, Part C, vol. 7, no. 2, pp. 383-398, 2019.
  • E. Çelik, and R. Durgut “Performance enhancement of automatic voltage regulator by modified cost function and symbiotic organisms search algorithm,” Engineering science and technology, an international journal, vol. 21, no. 5, pp. 1104-1111, 2018.
  • M.S. Ayas “Design of an optimized fractional high-order differential feedback controller for an AVR system,” Electrical Engineering, vol. 101, pp. 1221-1233, 2019.
  • V. Rajinikanth, and S.C. Satapathy “Design of controller for automatic voltage regulator using teaching learning based optimization,” Procedia Technology, vol. 21, pp. 295-302, 2015.
  • H.T. Kahraman, S. Aras, and E. Gedikli “Fitness-distance balance (FDB): a new selection method for meta-heuristic search algorithms,” Knowledge-Based Systems, vol. 190, 105169, 2020.
  • S. Aras, E. Gedikli, and H.T. Kahraman “A novel stochastic fractal search algorithm with fitness-distance balance for global numerical optimization,” Swarm and Evolutionary Computation, vol. 61, 100821, 2021.
  • Y. Sonmez, S. Duman, H.T. Kahraman, M. Kati, S. Aras, and U. Guvenc “Fitness-distance balance based artificial ecosystem optimisation to solve transient stability constrained optimal power flow problem,” Journal of Experimental and Theoretical Artificial Intelligence, 2022.
  • N. Anwar, A. Hanif, M.U. Ali, and A. Zafar “Chaotic-based particle swarm optimization algorithm for optimal PID tuning in automatic voltage regulator systems,” Electrical Engineering & Electromechanics, vol. 1, pp. 50-59, 2021.
  • B. Hekimoğlu “Sine-cosine algorithm-based optimization for automatic voltage regulator system,” Transactions of the Institute of Measurement and Control, vol. 41, no. 6, pp. 1761-1771, 2019.
  • A. Tabak “Maiden application of fractional order PID plus second order derivative controller in automatic voltage regulator,” International Transactions on Electrical Energy Systems, vol. 31, no. 12, e13211, 2021.
  • S. Panda, B.K, Sahu, and P.K, Mohanty “Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization,” Journal of the Franklin Institute, vol. 349, no. 8, pp. 2609-2625, 2012.
  • A. Tabak “A novel fractional order PID plus derivative (PIλDμDμ2) controller for AVR system using equilibrium optimize,” COMPEL-The international journal for computation and mathematics in electrical and electronic engineering, vol. 40, no. 3, pp. 722-743, 2021.

Controller Design for Automatic Voltage Regulator System with Fitness Distance Balance Based Artificial Ecosystem Optimization Algorithm

Yıl 2023, , 203 - 214, 27.10.2023

Muhammet Demirbaş , Serhat Duman , Mehmet Kenan Döşoğlu

https://doi.org/10.46387/bjesr.1273489

Öz

Kaynakça

  • S. Habib, G. Abbas, T.A. Jumani, A.A. Bhutto, S. Mirsaeidi, and E.M. Ahmed “Improved whale optimization algorithm for transient response, robustness, and stability enhancement of an automatic voltage regulator system,” Energies , vol. 15, no. 14, 5037, 2022.
  • B. Ozgenc, M.S. Ayas, and I.H. Altas “Performance improvement of an AVR system by symbiotic organism search algorithm-based PID-F controller,” Neural Computing and Applications, vol. 34, pp. 7899-7908, 2022.
  • A. Sikander, and P. Thakur “A new control design strategy for automatic voltage regulator in power system ,” ISA transactions, vol. 100, pp. 235-243, 2020.
  • M. Ćalasan, M. Micev, Ž. Djurovic, and H.M.A. Mageed “Artificial ecosystem-based optimization for optimal tuning of robust PID controllers in AVR systems with limited value of excitation voltage,” The International Journal of Electrical Engineering and Education, 2020.
  • A.K. Bhullar, R. Kaur, and S. Sondhi “Enhanced crow search algorithm for AVR optimization. Soft Computing,” Soft Computing, vol. 24, pp. 11957-11987, 2020.
  • P. Govindan “Evolutionary algorithms-based tuning of PID controller for an AVR system,” International Journal of Electrical & Computer Engineering, vol. 10, no. 3, pp. 3047-3056, 2020.
  • E. Köse “Optimal control of AVR system with tree seed algorithm-based PID controller,” IEEE Access, vol. 8, pp. 89457-89467, 2020.
  • N. Pachauri “Water cycle algorithm-based PID controller for AVR,” COMPEL-The international journal for computation and mathematics in electrical and electronic engineering, vol. 39, no. 3, pp. 551-567, 2020.
  • M. Micev, M. Ćalasan, and D. Oliva "Design and robustness analysis of an Automatic Voltage Regulator system controller by using Equilibrium Optimizer algorithm," Computers and Electrical Engineering, vol. 89, p. 106930, 2021.
  • A. Sikander, P. Thakur, R.C. Bansal, and S. Rajasekar “A novel technique to design cuckoo search based FOPID controller for AVR in power systems,” Computers and Electrical Engineering, vol. 70, pp. 261-274, 2018.
  • B. Bourouba, S. Ladaci, and H. Schulte “Optimal design of fractional order PIλDμ controller for an AVR system using Ant Lion Optimizer,” IFAC-PapersOnLine, vol. 52, no. 13, 200205, 2019.
  • I.A. Khan, A.S. Alghamdi, T.A. Jumani, A. Alamgir, A.B. Awan, and A. Khidrani “Salp swarm optimization algorithm-based fractional order PID controller for dynamic response and stability enhancement of an automatic voltage regulator system, vol. 8, no. 12, pp. 1472, 2019.
  • T.A. Jumani, M.W. Mustafa, Z. Hussain, M.M. Rasid, M.S. Saeed, M.M. Memon, I. Khan, and K.S. Nisar “Jaya optimization algorithm for transient response and stability enhancement of a fractional-order PID based automatic voltage regulator system,” Alexandria Engineering Journal, vol. 59, no. 4, pp. 2429-2440, 2020.
  • S.M.A. Altbawi, A.S.B. Mokhtar, T.A. Jumani, I. Khan, N.N. Hamadneh, and A. Khan “Optimal design of Fractional order PID controller based Automatic voltage regulator system using gradient-based optimization algorithm”, Journal of King Saud University-Engineering Sciences, 2021.
  • V.K. Munagala, and R.K. Jatoth ”Improved fractional PIλDμ controller for AVR system using Chaotic Black Widow algorithm,” Computers and Electrical Engineering, vol. 97, p. 107600, 2022.
  • J.G. Ziegler, and N.B. Nichols “Optimum settings for automatic controllers,” Transactions of the American society of mechanical engineers, vol. 64, no. 8, pp. 759-765, 1942.
  • C.C. Hang, B. K.J. Åström, and W.K. Ho “Refinements of the Ziegler–Nichols tuning formula,” In IEE Proceedings D (Control Theory and Applications), vol. 138, no. 2, pp. 111-118, 1991.
  • Q.G. Wang, T.H. Lee, H.W. Fung, Q. Bi, and Y. Zhang “PID tuning for improved performance,” IEEE Transactions on control systems technology, vol. 7, no. 4, pp. 457-465, 1999.
  • M.A. Sabib, and B.S. Ahmed “A new multiobjective performance criterion used in PID tuning optimization algorithms,” Journal of advanced research, vol. 7, no. 1, pp. 125-134, 2016.
  • H. Rezaei, O. Bozorg-Haddad, and X. Chu “Grey wolf optimization (GWO) algorithm,” Advanced optimization by nature-inspired algorithms, pp. 81-91, 2018.
  • E. Çelik “Incorporation of stochastic fractal search algorithm into efficient design of PID controller for an automatic voltage regulator system,” Neural Computing and Applications, vol. 30, pp. 1991-2002, 2018.
  • B. Ozgenc, M.S. Ayas, and I.H. Altas “Performance improvement of an AVR system by symbiotic organism search algorithm-based PID-F controller,” Neural Computing and Applications, vol. 34, pp. 7899-7908, 2022.
  • W. Zhao, L. Wang, and Z. Zhang “Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm,” Neural Computing and Applications, vol. 32, pp. 9383-9425, 2020.
  • M.S. Ayas, and E. Sahin “FOPID controller with fractional filter for an automatic voltage regulator,” Computers and Electrical Engineering, vol. 90, p. 106895, 2021.
  • R. Pradhan, S.K. Majhi, and B.B. Pati “Design of PID controller for automatic voltage regulator system using Ant Lion Optimizer,” World Journal of Engineering, vol.15, no.3, pp. 373-387, 2018.
  • A.M. Mosaad, M.A. Attia, and A.Y. Abdelaziz “Comparative performance analysis of AVR controllers using modern optimization techniques,” Electric Power Components and Systems, vol. 46, no. 19-20, pp. 2117-2130, 2018.
  • A.G. Suri babu, B.T. Chiranjeevi “Implementation of fractional order PID controller for an AVR system using GA and ACO optimization techniques,” IFAC-PapersOnLine, vol. 49, no. 1, pp. 456-461, 2016.
  • Y. Zhou, J. Zhang, X. Yang, and Y. Ling “Optimization of PID controller based on water wave optimization for an automatic voltage regulator system,” Information Technology and Control, vol. 48, no. 1, pp. 160-171, 2019.
  • I.A. Khan, A.S. Alghamdi, T.A. Jumani, A. Alamgir, A.B. Awan, and A. Khidrani “Salp swarm optimization algorithm-based fractional order PID controller for dynamic response and stability enhancement of an automatic voltage regulator system,” Electronics, vol. 8, no. 12, pp. 1472, 2019.
  • I. Eke, M. Saka, H. Gozde, Y. Arya, and M.C. Toplamacioglu “Heuristic optimization based dynamic weighted state feedback approach for 2DOF PI-controller in automatic voltage regulator,” Engineering Science and Technology, an International Journal, vol. 24, no. 4, pp. 899-910, 2021.
  • S. Ekinci, A. Demirören, H.L. Zeynelgil, and, S. Kaya “Design of PID controller for automatic voltage regulator system through kidney-inspired algorithm, GU J Sci, Part C, vol. 7, no. 2, pp. 383-398, 2019.
  • E. Çelik, and R. Durgut “Performance enhancement of automatic voltage regulator by modified cost function and symbiotic organisms search algorithm,” Engineering science and technology, an international journal, vol. 21, no. 5, pp. 1104-1111, 2018.
  • M.S. Ayas “Design of an optimized fractional high-order differential feedback controller for an AVR system,” Electrical Engineering, vol. 101, pp. 1221-1233, 2019.
  • V. Rajinikanth, and S.C. Satapathy “Design of controller for automatic voltage regulator using teaching learning based optimization,” Procedia Technology, vol. 21, pp. 295-302, 2015.
  • H.T. Kahraman, S. Aras, and E. Gedikli “Fitness-distance balance (FDB): a new selection method for meta-heuristic search algorithms,” Knowledge-Based Systems, vol. 190, 105169, 2020.
  • S. Aras, E. Gedikli, and H.T. Kahraman “A novel stochastic fractal search algorithm with fitness-distance balance for global numerical optimization,” Swarm and Evolutionary Computation, vol. 61, 100821, 2021.
  • Y. Sonmez, S. Duman, H.T. Kahraman, M. Kati, S. Aras, and U. Guvenc “Fitness-distance balance based artificial ecosystem optimisation to solve transient stability constrained optimal power flow problem,” Journal of Experimental and Theoretical Artificial Intelligence, 2022.
  • N. Anwar, A. Hanif, M.U. Ali, and A. Zafar “Chaotic-based particle swarm optimization algorithm for optimal PID tuning in automatic voltage regulator systems,” Electrical Engineering & Electromechanics, vol. 1, pp. 50-59, 2021.
  • B. Hekimoğlu “Sine-cosine algorithm-based optimization for automatic voltage regulator system,” Transactions of the Institute of Measurement and Control, vol. 41, no. 6, pp. 1761-1771, 2019.
  • A. Tabak “Maiden application of fractional order PID plus second order derivative controller in automatic voltage regulator,” International Transactions on Electrical Energy Systems, vol. 31, no. 12, e13211, 2021.
  • S. Panda, B.K, Sahu, and P.K, Mohanty “Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization,” Journal of the Franklin Institute, vol. 349, no. 8, pp. 2609-2625, 2012.
  • A. Tabak “A novel fractional order PID plus derivative (PIλDμDμ2) controller for AVR system using equilibrium optimize,” COMPEL-The international journal for computation and mathematics in electrical and electronic engineering, vol. 40, no. 3, pp. 722-743, 2021.
Toplam 42 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Elektrik Mühendisliği
Bölüm Araştırma Makaleleri
Yazarlar

Muhammet Demirbaş 0000-0002-5223-1279

Serhat Duman 0000-0002-1091-125X

Mehmet Kenan Döşoğlu 0000-0001-8804-7070

Erken Görünüm Tarihi 18 Ekim 2023
Yayımlanma Tarihi 27 Ekim 2023
Yayımlandığı Sayı Yıl 2023

Kaynak Göster

APA Demirbaş, M., Duman, S., & Döşoğlu, M. K. (2023). Uygunluk Mesafe Dengesi Tabanlı Yapay Ekosistem Optimizasyon Algoritması ile Otomatik Gerilim Regülatörü Sistemi için Denetleyici Tasarımı. Mühendislik Bilimleri Ve Araştırmaları Dergisi, 5(2), 203-214. https://doi.org/10.46387/bjesr.1273489
AMA Demirbaş M, Duman S, Döşoğlu MK. Uygunluk Mesafe Dengesi Tabanlı Yapay Ekosistem Optimizasyon Algoritması ile Otomatik Gerilim Regülatörü Sistemi için Denetleyici Tasarımı. Müh.Bil.ve Araş.Dergisi. Ekim 2023;5(2):203-214. doi:10.46387/bjesr.1273489
Chicago Demirbaş, Muhammet, Serhat Duman, ve Mehmet Kenan Döşoğlu. “Uygunluk Mesafe Dengesi Tabanlı Yapay Ekosistem Optimizasyon Algoritması Ile Otomatik Gerilim Regülatörü Sistemi için Denetleyici Tasarımı”. Mühendislik Bilimleri Ve Araştırmaları Dergisi 5, sy. 2 (Ekim 2023): 203-14. https://doi.org/10.46387/bjesr.1273489.
EndNote Demirbaş M, Duman S, Döşoğlu MK (01 Ekim 2023) Uygunluk Mesafe Dengesi Tabanlı Yapay Ekosistem Optimizasyon Algoritması ile Otomatik Gerilim Regülatörü Sistemi için Denetleyici Tasarımı. Mühendislik Bilimleri ve Araştırmaları Dergisi 5 2 203–214.
IEEE M. Demirbaş, S. Duman, ve M. K. Döşoğlu, “Uygunluk Mesafe Dengesi Tabanlı Yapay Ekosistem Optimizasyon Algoritması ile Otomatik Gerilim Regülatörü Sistemi için Denetleyici Tasarımı”, Müh.Bil.ve Araş.Dergisi, c. 5, sy. 2, ss. 203–214, 2023, doi: 10.46387/bjesr.1273489.
ISNAD Demirbaş, Muhammet vd. “Uygunluk Mesafe Dengesi Tabanlı Yapay Ekosistem Optimizasyon Algoritması Ile Otomatik Gerilim Regülatörü Sistemi için Denetleyici Tasarımı”. Mühendislik Bilimleri ve Araştırmaları Dergisi 5/2 (Ekim 2023), 203-214. https://doi.org/10.46387/bjesr.1273489.
JAMA Demirbaş M, Duman S, Döşoğlu MK. Uygunluk Mesafe Dengesi Tabanlı Yapay Ekosistem Optimizasyon Algoritması ile Otomatik Gerilim Regülatörü Sistemi için Denetleyici Tasarımı. Müh.Bil.ve Araş.Dergisi. 2023;5:203–214.
MLA Demirbaş, Muhammet vd. “Uygunluk Mesafe Dengesi Tabanlı Yapay Ekosistem Optimizasyon Algoritması Ile Otomatik Gerilim Regülatörü Sistemi için Denetleyici Tasarımı”. Mühendislik Bilimleri Ve Araştırmaları Dergisi, c. 5, sy. 2, 2023, ss. 203-14, doi:10.46387/bjesr.1273489.
Vancouver Demirbaş M, Duman S, Döşoğlu MK. Uygunluk Mesafe Dengesi Tabanlı Yapay Ekosistem Optimizasyon Algoritması ile Otomatik Gerilim Regülatörü Sistemi için Denetleyici Tasarımı. Müh.Bil.ve Araş.Dergisi. 2023;5(2):203-14.