Master–slave architecture enhanced and improved GBO tuned cascaded PI-PDN controller for speed regulation of DC motors

Basit Öğe Kaydı
dc.contributor.authorİzci, Davut
dc.contributor.authorEkinci, Serdar
dc.contributor.authorRizk-Allah, Rizk Masoud
dc.contributor.authorAlribdi, Nada İbrahim
dc.contributor.authorSmerat, Aseel
dc.contributor.authorAlzahrani, Ahmed
dc.contributor.authorAlwadain, Ayed
dc.contributor.authorSnasel, Vaclav
dc.contributor.authorAbualigah, Laith
dc.date.accessioned2025-12-01T07:30:56Z
dc.date.available2025-12-01T07:30:56Z
dc.date.issued2025
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractThis study introduces a novel master-slave architecture featuring an improved gradient-based optimizer (ImGBO) to effectively tune a cascaded proportional-integral (PI) and proportional-derivative with filter (PDN) controller specifically for DC motor speed regulation. The core novelty of this work lies in enhancing the traditional GBO algorithm by integrating an experience-based perturbed learning mechanism and an adaptive local search strategy, significantly enhancing its ability to balance exploration and exploitation during optimization. The proposed ImGBO-based cascaded PI-PDN controller is comprehensively evaluated against traditional GBO, recent metaheuristics and advanced proportional-integral-derivative (PID) and fractional-order PID (FOPID) controllers. Significant improvements were observed, with the proposed method demonstrating exceptionally short rise (0.0089 s) and settling times (0.0140 s), no overshoot, and minimal steady-state error (0.0017%). Stability analysis via pole placement and Bode plots affirmed the robust and stable operation of the controller, exhibiting a phase margin of 71.6640 degrees and infinite gain margin. These results strongly support the suitability and effectiveness of the ImGBO-based approach for precision-critical DC motor control applications.
dc.description.sponsorshipPrincess Nourah bint Abdulrahman University ; European Union (EU)
dc.identifier.doi10.1002/oca.3313
dc.identifier.endpage2152
dc.identifier.issn0143-2087
dc.identifier.issn1099-1514
dc.identifier.issue5
dc.identifier.scopus2-s2.0-105005527470
dc.identifier.scopusqualityQ1
dc.identifier.startpage2137
dc.identifier.urihttps://doi.org/10.1002/oca.3313
dc.identifier.urihttps://hdl.handle.net/11501/2517
dc.identifier.volume46
dc.identifier.wosWOS:001490239000001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorEkinci, Serdar
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofOptimal Control Applications and Methods
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAdaptive Local Search Mechanism
dc.subjectCascaded PI-PDN Controller
dc.subjectDC Motor Speed Management
dc.subjectExperience-Based Perturbed Learning Strategy
dc.subjectGradient-Based Optimizer
dc.subjectStability
dc.titleMaster–slave architecture enhanced and improved GBO tuned cascaded PI-PDN controller for speed regulation of DC motors
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
Tam Metin / Full Text
Boyut:
1.76 MB
Biçim:
Adobe Portable Document Format
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Kapalı Erişim
İsim:
license.txt
Boyut:
1.17 KB
Biçim:
Item-specific license agreed to upon submission
Açıklama:
İndir

Koleksiyon

Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu