Year 2021, Volume 11 , Issue 2, Pages 1014 - 1026 2021-06-01

İkili Tank Sisteminin Sıvı Seviye Kontrolü için Genetik Algoritma Tabanlı PI+İleri Besleme Kontrolcü
PI+Feed Forward Controller Tuning Based on Genetic Algorithm for Liquid Level Control of Coupled-Tank System

Mehmet YILMAZ [1] , Kaan CAN [2] , Abdullah BAŞÇİ [3]


Günümüzde su arıtma sistemlerinde ve petrokimya endüstrisinde sıklıkla kullanılan ikili tank sıvı seviye sistemlerinin kontrolündeki en temel problemlerden biri iki tank arasındaki sıvı akış oranının belirlenmesidir. Bu çalışmada bu problemi gidermek amacıyla oransal-integral (PI) + ileri besleme (FF) kontrolcünün (PI+FF) parametreleri sezgisel optimizasyon yöntemlerinden genetik algoritma (GA) kullanılarak belirlenmiş ve ikili tank sistemine uygulanmıştır. Ayrıca GA tabanlı kontrolcünün performansını göstermek amacıyla Ziegler-Nichols (Z-N) yöntemi kullanılarak parametreleri elde edilen PI+FF kontrol yöntemi aynı sisteme uygulanmış ve her iki kontrolcünün gerçek zamanlı uygulama sonuçları karşılaştırılmıştır. Deneysel sonuçlar, parametreleri GA ile belirlen kontrolcünün Z-N yöntemi kullanılarak elde edilen kontrolcüye oranla istenilen referans değere daha küçük yerleşme zamanı ve daha az yüzde aşım ile ulaştığı ve ayrıca sistemde meydana gelen ani değişimlere daha hızlı tepki verdiği gözlemlenmiştir.
One of the main problems in the control of the coupled tank liquid level systems, which are used frequently in water treatment systems and petrochemical industry today, is to determine the water flow rate between the two tanks. In this paper, proportional-integral +feed forward control method (PI+FF), whose parameters are determined using genetic algorithm (GA), one of the heuristic optimization methods, is used to solve this problem. In addition, in order to show the performance of the GA-based controller, the PI+FF controller that PI parameters obtained using the Ziegler-Nichols (Z-N) method are applied to the same system and the real-time application results of both controllers are compared. The experimental results showed that the controller, which parameters are determined by GA, reached the desired reference value with less settling time and less overshooting when it compared to the Z-N method based controller, and also it has given faster response to sudden changes in the system.
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Primary Language en
Subjects Engineering, Electrical and Electronic
Published Date Haziran-2021
Journal Section Elektrik Elektronik Mühendisliği / Electrical Electronic Engineering
Authors

Orcid: 0000-0001-7624-4245
Author: Mehmet YILMAZ
Institution: ATATURK UNIVERSITY, FACULTY OF ENGINEERING
Country: Turkey


Orcid: 0000-0002-6597-2797
Author: Kaan CAN
Institution: ATATURK UNIVERSITY, FACULTY OF ENGINEERING
Country: Turkey


Orcid: 0000-0003-4141-2880
Author: Abdullah BAŞÇİ (Primary Author)
Institution: ATATÜRK ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ, ELEKTRİK-ELEKTRONİK MÜHENDİSLİĞİ BÖLÜMÜ
Country: Turkey


Dates

Application Date : November 2, 2020
Acceptance Date : February 4, 2021
Publication Date : June 1, 2021

Bibtex @research article { jist819389, journal = {Journal of the Institute of Science and Technology}, issn = {2146-0574}, eissn = {2536-4618}, address = {}, publisher = {Igdir University}, year = {2021}, volume = {11}, pages = {1014 - 1026}, doi = {10.21597/jist.819389}, title = {PI+Feed Forward Controller Tuning Based on Genetic Algorithm for Liquid Level Control of Coupled-Tank System}, key = {cite}, author = {Yılmaz, Mehmet and Can, Kaan and Başçi, Abdullah} }
APA Yılmaz, M , Can, K , Başçi, A . (2021). PI+Feed Forward Controller Tuning Based on Genetic Algorithm for Liquid Level Control of Coupled-Tank System . Journal of the Institute of Science and Technology , 11 (2) , 1014-1026 . DOI: 10.21597/jist.819389
MLA Yılmaz, M , Can, K , Başçi, A . "PI+Feed Forward Controller Tuning Based on Genetic Algorithm for Liquid Level Control of Coupled-Tank System" . Journal of the Institute of Science and Technology 11 (2021 ): 1014-1026 <https://dergipark.org.tr/en/pub/jist/issue/61423/819389>
Chicago Yılmaz, M , Can, K , Başçi, A . "PI+Feed Forward Controller Tuning Based on Genetic Algorithm for Liquid Level Control of Coupled-Tank System". Journal of the Institute of Science and Technology 11 (2021 ): 1014-1026
RIS TY - JOUR T1 - PI+Feed Forward Controller Tuning Based on Genetic Algorithm for Liquid Level Control of Coupled-Tank System AU - Mehmet Yılmaz , Kaan Can , Abdullah Başçi Y1 - 2021 PY - 2021 N1 - doi: 10.21597/jist.819389 DO - 10.21597/jist.819389 T2 - Journal of the Institute of Science and Technology JF - Journal JO - JOR SP - 1014 EP - 1026 VL - 11 IS - 2 SN - 2146-0574-2536-4618 M3 - doi: 10.21597/jist.819389 UR - https://doi.org/10.21597/jist.819389 Y2 - 2021 ER -
EndNote %0 Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi PI+Feed Forward Controller Tuning Based on Genetic Algorithm for Liquid Level Control of Coupled-Tank System %A Mehmet Yılmaz , Kaan Can , Abdullah Başçi %T PI+Feed Forward Controller Tuning Based on Genetic Algorithm for Liquid Level Control of Coupled-Tank System %D 2021 %J Journal of the Institute of Science and Technology %P 2146-0574-2536-4618 %V 11 %N 2 %R doi: 10.21597/jist.819389 %U 10.21597/jist.819389
ISNAD Yılmaz, Mehmet , Can, Kaan , Başçi, Abdullah . "PI+Feed Forward Controller Tuning Based on Genetic Algorithm for Liquid Level Control of Coupled-Tank System". Journal of the Institute of Science and Technology 11 / 2 (June 2021): 1014-1026 . https://doi.org/10.21597/jist.819389
AMA Yılmaz M , Can K , Başçi A . PI+Feed Forward Controller Tuning Based on Genetic Algorithm for Liquid Level Control of Coupled-Tank System. Iğdır Üniv. Fen Bil Enst. Der.. 2021; 11(2): 1014-1026.
Vancouver Yılmaz M , Can K , Başçi A . PI+Feed Forward Controller Tuning Based on Genetic Algorithm for Liquid Level Control of Coupled-Tank System. Journal of the Institute of Science and Technology. 2021; 11(2): 1014-1026.
IEEE M. Yılmaz , K. Can and A. Başçi , "PI+Feed Forward Controller Tuning Based on Genetic Algorithm for Liquid Level Control of Coupled-Tank System", Journal of the Institute of Science and Technology, vol. 11, no. 2, pp. 1014-1026, Jun. 2021, doi:10.21597/jist.819389