ENDÜSTRİYEL BİYOLOJİK FERMANTASYON İŞLEMİ İÇİN DENGE OPTİMİZASYON ALGORİTMASIYLA KONTROLÖR TASARIMI

Bu çalışmada yeni bir meta sezgisel optimizasyon yöntemi olan Denge Optimizasyon (DO) algoritması ile aşı üretiminde gerçekleştirilen biyolojik fermantasyon işleminde kullanılan karıştırıcı modelleri için PID kontrolörler tasarlanmıştır. Öncelikle Denge Optimizasyon algoritması PID kontrolör parametrelerini optimize edebilecek kabiliyete ulaştırılmıştır. Daha sonra algoritmanın çalışma performansına etki eden parametrelerde çalışma esnasında deneysel olarak ayarlanmıştır. Özellikle literatürde daha önceden karıştırıcı modelleri için analitik yöntemlerle tasarlanmış olan PID kontrolör yerine performansı daha iyi olan Denge Optimizasyon algoritmasıyla tasarlanmış PID kontrolörlerin kapalı çevrim sonuçları karşılaştırmalı olarak sunulmuştur. Bu sayede yeni bir algoritma olan denge optimizasyon algoritmasının gerçek mühendislik problemlerinde de kullanılabileceği ve analitik yöntemlere karşın daha iyi kontrol performansına sahip PID kontrolörler türetilebileceği gösterilmektedir.

Anahtar Kelimeler:

denge optimizasyon, biyolojik fermentasyon, PID, kontrolör

Controller Design with Equilibrium Optimization Algorithm for an industrial biological fermentation process

In this study, PID controllers are designed for the mixer mathematical models for biological fermentation process in vaccine production with the Equilibrium Optimization (EO) algorithm, which is a new meta-heuristic optimization method. Firstly, Equilibrium Optimization algorithm has been provided with the ability to optimize PID controller parameters. Then, the parameters affecting the working performance of the algorithm were found experimentally during the study. In the literature, the closed loop results of PID controllers designed with the Equilibrium Optimization algorithm, which was previously designed with analytical methods for mixer system, have been presented comparatively. Thus, it is shown that the Equilibrium Optimization algorithm, which is a new algorithm, can also be used in real engineering problems and PID controllers with better control performance can be derived despite analytical methods.

Keywords:

Equilibrium optimizer, biological fermentation, PID, controller,

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