Fractional-order PID control for elevation and azimuth in a twin rotor system
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F25%3A39923442" target="_blank" >RIV/00216275:25410/25:39923442 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28140/25:63590959
Result on the web
<a href="https://www.nature.com/articles/s41598-025-18763-8#Ack1" target="_blank" >https://www.nature.com/articles/s41598-025-18763-8#Ack1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41598-025-18763-8" target="_blank" >10.1038/s41598-025-18763-8</a>
Alternative languages
Result language
angličtina
Original language name
Fractional-order PID control for elevation and azimuth in a twin rotor system
Original language description
This paper presents a real-time application of fractional-order PID (FOPID or PID) control for a twin rotor system, optimizing performance beyond conventional PID approaches. A linear model identification is first performed using a black-box approach, with a detailed examination of the system’s static properties. The primary aim is to implement PID control, where the fractional orders and correspond to the integral and derivative components, respectively, offering enhanced flexibility in system dynamics tuning. The proposed control strategy is validated through experiments on a laboratory-scale twin rotor benchmark. Controller parameters are optimized using advanced algorithms, including Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and the Nelder-Mead (NM) method. These algorithms minimize time-domain performance metrics such as Integral of Absolute Error (IAE), Integral of Time-weighted Squared Error (ITSE), Integral of Squared Error (ISE), and Integral of Time-weighted Absolute Error (ITAE). Notably, the optimized GA-based FOPID controller achieves an IAE performance index of 180.33 for the FOPID in elevation. The GA-based FOPID tuning is particularly effective for IAE performance in the azimuth, yielding a value of 109.2, compared to the GA-based IOPID, which results in a value of 247.05. Additionally, the least performance index is observed when comparing the PSO and NM-based FOPID tuning across all performance indexes. These results demonstrate that the FOPID controller significantly enhances control precision and stability in the twin rotor system, highlighting the potential of fractional-order control (FOC) in real-time applications.
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
S - Specificky vyzkum na vysokych skolach
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
Scientific Reports
ISSN
2045-2322
e-ISSN
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Volume of the periodical
15
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
30
Pages from-to
33590
UT code for WoS article
001586154100036
EID of the result in the Scopus database
2-s2.0-105017633710