Master–Slave Architecture Enhanced and Improved GBO Tuned Cascaded PI-PDN Controller for Speed Regulation of DC Motors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F25%3A10260357" target="_blank" >RIV/61989100:27240/25:10260357 - isvavai.cz</a>
Result on the web
<a href="https://onlinelibrary.wiley.com/doi/epdf/10.1002/oca.3313?src=getftr&utm_source=clarivate&getft_integrator=clarivate" target="_blank" >https://onlinelibrary.wiley.com/doi/epdf/10.1002/oca.3313?src=getftr&utm_source=clarivate&getft_integrator=clarivate</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/oca.3313" target="_blank" >10.1002/oca.3313</a>
Alternative languages
Result language
angličtina
Original language name
Master–Slave Architecture Enhanced and Improved GBO Tuned Cascaded PI-PDN Controller for Speed Regulation of DC Motors
Original language description
This 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° and infinite gain margin. These results strongly support the suitability and effectiveness of the ImGBO-based approach for precision-critical DC motor control applications. © 2025 John Wiley & Sons Ltd.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
O - Projekt operacniho programu
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Optimal Control Applications and Methods
ISSN
0143-2087
e-ISSN
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Volume of the periodical
46
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
16
Pages from-to
2137-2152
UT code for WoS article
001490239000001
EID of the result in the Scopus database
2-s2.0-105005527470