Design of Evolutionary Algorithm Based PID Controller with filter for an Automatic Voltage Regulator

Yıl 2020, Cilt: 10 Sayı: 1, 74 - 90, 15.06.2020

Büşra Özgenç , Mustafa Şinasi Ayas , İsmail Altaş

https://doi.org/10.31466/kfbd.719953

Cited By: 1

Öz

The automatic voltage regulator (AVR) system is commonly used in power systems to keep the terminal voltage of generator at a specified level. The terminal voltage level is controlled by using different controllers in an AVR sistem. Researchers aim to improve dynamic performance of the AVR system and to decrease the steady state error to zero by using different controllers in their studies. They design controllers by utilizing evolutionary algorithms. Evolutionary algorithms are widely used to optimally tune controller parameters according to predefined objective function. In this study, two different proportional-integral-derivative with filter (PID-F) controllers are designed for the AVR system. Atom search optimization (ASO) and particle swarm optimization (PSO) algorithms are used to tune the parameters of the controllers. For each controller, transient response analysis, frequency analysis, and robustness analysis are examined in Matlab/Simulink for the AVR system and performance comparison is made. The results indicate that the ASO algorithm achieves better results than the PSO algorithm. In addition, it is concluded that the PID-F controller designed with ASO algorithm improves the transient response characteristics, stability and robustness compared to the classical PID controller of which the parameters are tuned by ASO, PSO, Biogeography based optimization (BBO) and Artificial bee colony (ABC).

Anahtar Kelimeler

Atom search optimization, AVR system, PID-F controller, Particle swarm optimization

Otomatik Gerilim Regülatörü için Evrimsel Algoritma Tabanlı Filtreli PID Denetleyici Tasarımı

Öz

Otomatik gerilim regülatör (OGR) sistemi, generatör terminal gerilimini belirtilen seviyede tutmak için güç sistemlerinde yaygın olarak kullanılır. OGR sisteminde farklı denetleyiciler kullanılarak generatör terminal geriliminin denetimi gerçekleştirilmektedir. Araştırmacılar yaptıkları çalışmalarda OGR sisteminin dinamik performansını iyileştirmeyi ve sürekli durum hatasını sıfıra indirmeyi hedeflemektedir ve bu kapsamda evrimsel algoritmalar yardımıyla denetleyici tasarlamaktadır. Evrimsel algoritmalar, denetleyici parametrelerini belirlenen bir amaç fonksiyonunu göz önüne alarak optimal bir şekilde ayarlamak için yaygın olarak kullanılmaktadır. Bu çalışmada, bir OGR sisteminin denetimi için iki farklı filtreli oransal-integral-türevsel (PID-F) denetleyici tasarlanmıştır. Denetleyicilerin parametrelerini ayarlamak için atom arama optimizasyon (AAO) ve parçacık sürüsü optimizasyon (PSO) algoritmaları kullanılmıştır. Her bir denetleyici için OGR sisteminin geçici yanıt analizi, frekans analizi, dayanıklılık analizi Matlab/Simulink programında incelenmiş ve performans karşılaştırması yapılmıştır. Elde edilen sonuçlara göre, AAO algoritmasının PSO algoritmasından daha iyi sonuçlar verdiği görülmüştür. Ayrıca, AAO algoritması ile tasarlanmış PID-F denetleyicinin, AAO, PSO, biyocoğrafyaya dayalı optimizasyon (BDO) ve yapay arı koloni (YAK) algoritmaları ile ayarlanmış klasik PID denetleyicilere göre geçici yanıt karakteristiklerini iyileştirdiği ve sistemin kararlılığını ve dayanıklılığını arttırdığı sonucuna varılmıştır. 

Anahtar Kelimeler

Atom arama optimizasyonu, OGR sistemi, PID-F denetleyici, Parçacık sürüsü optimizasyonu

Kaynakça

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