Farklı Yük Çeşitleri İçin Parçacık Sürü Optimizasyonu ve Ziegler-Nichols Metodunun DC Motor Hız Kontrolü Probleminde Karşılaştırılması

Year 2022, Issue: 33, 88 - 92, 31.01.2022

Celal Onur Gökçe , Volkan Durusu , Ridvan Unal

https://doi.org/10.31590/ejosat.1022991

Cited By: 1

Abstract

Bu çalışmada DC motor hız kontrolü problemini Ziegler-Nichols (ZN) ve Parçacık Sürü Optimizasyonu (PSO) yaklaşımları ile çözerek performans karşılaştırılması yapılmıştır. Farklı referans çeşitleri ve farklı yük çeşitleri ile sistem sürülerek çıkış gözlemlenmiştir. Mutlak hataların toplamı cinsinden bir maliyet hesabı ve maliyet hesabının tersi olarak performans hesabı yapılmıştır. Bütün referans ve yüklerde PSO yaklaşımının performansı ZN yaklaşımının performansından fazla olduğu gözlemlenmiştir. Özellikle referans ve yük karmaşıklaştıkça bu performans farkının arttığı sonucuna varılıp sonuçlar hem şekil hem de tablo olarak verilmiştir.

Keywords

DC Motor, parçacık sürü optimizasyonu, Ziegler-Nichols

Comparison of Particle Swarm Optimization and Ziegler-Nichols Methods in the Problem of DC Motor Speed Control Under Different Loads

Abstract

In this study, DC motor velocity control problem is solved using two different approaches; namely Ziegler-Nichols (ZN) and Particle Swarm Optimization (PSO). The performances of two approaches are measured with different types of references and disturbances. Performance is measured using sum of absolute errors. It is observed that PSO approach shows better performance in all configurations. An increased performance difference is observed especially in complex references and complex disturbances. Results are given both in figures and as a table.

Keywords

DC Motor, particle swarm optimization, Ziegler-Nichols

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