Effective fractional order PID control design of DC Motors using the walrus optimization algorithm

Yıl 2025, Cilt: 31 Sayı: 4, 625 - 632, 25.08.2025

Hasan Başak , Kadri Doğan

Öz

This paper presents an approach utilizing the Walrus Optimization Algorithm (WaOA) to tune the parameters of the fractional-order proportional-integral-derivative (FOPID) controller for regulating the speed of direct current (DC) motors. The optimal controller settings are determined employing a time-based performance metric, serving as a cost function, to attain high performance. The success of the WaOA-based FOPID controller is demonstrated through comprehensive statistical analysis and simulations. The results indicate that the WaOA effectively find the optimal parameters of the FOPID controller. Moreover, the superiority of the WaOA-based FOPID-controlled DC motor system is further supported by a detailed time-domain analysis. The WaOA-FOPID controller exhibits superior performance when compared with controllers utilizing alternative algorithms such as leader-based harris hawks, chaotic artificial hummingbird, improved slime mould, manta ray foraging based on opposition and simulated annealing, reptile search, prairie dog, grey wolf, and atom search. According to the results, WaOA emerges as an efficient method for optimizing FOPID parameters in the context of speed control for DC motor systems.

Anahtar Kelimeler

DC motor , FOPID controller , Walrus optimization algorithm , Metaheuristics

DC motorların mors optimizasyon algoritması kullanılarak etkili kesir dereceli PID kontrol tasarımı

Öz

Bu makale, doğru akım (DC) motorlarının hızını düzenlemek için kesirli mertebeden oransal-integral-türev (FOPID) denetleyicisinin parametrelerini ayarlamak için Mors Optimizasyon Algoritmasını (WaOA) kullanan bir yaklaşım sunmaktadır. Optimum kontrolör ayarları, yüksek performans elde etmek için maliyet fonksiyonu olarak hizmet veren zaman tabanlı bir performans ölçütü kullanılarak belirlenir. WaOA tabanlı FOPID kontrolörün başarısı, kapsamlı istatistiksel analiz ve simülasyonlarla gösterilmiştir. Sonuçlar, WaOA'nın FOPID kontrolörünün optimum parametrelerini etkili bir şekilde bulduğunu göstermektedir. Ayrıca, WaOA tabanlı FOPID kontrollü DC motor sisteminin üstünlüğü, ayrıntılı bir zaman alanı analizi ile daha da desteklenmektedir. WaOA-FOPID kontrolörü, lider tabanlı harris şahinleri, kaotik yapay sinek kuşu, iyileştirmiş cıvık mantar, karşıtlık ve tavlama benzetimine dayalı manta vatozu beslenme, sürüngen arama, çayır köpeği, gri kurt ve atom arama gibi alternatif algoritmalar kullanan kontrolörlerle karşılaştırıldığında üstün performans sergilemektedir. Sonuçlara göre, WaOA, DC motor sistemleri için hız kontrolü bağlamında FOPID parametrelerini optimize etmek için etkili bir yöntem olarak ortaya çıkmaktadır.

Anahtar Kelimeler

DC motor , FOPID denetleyici , Mors optimizasyonu algoritması , Metasezgisel

Kaynakça

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