Fractional-Order Identification and Analysis of Elevation and Azimuth Dynamics 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%2F70883521%3A28140%2F25%3A63590998" target="_blank" >RIV/70883521:28140/25:63590998 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-032-00071-2_37" target="_blank" >https://doi.org/10.1007/978-3-032-00071-2_37</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-032-00071-2_37" target="_blank" >10.1007/978-3-032-00071-2_37</a>
Alternative languages
Result language
angličtina
Original language name
Fractional-Order Identification and Analysis of Elevation and Azimuth Dynamics in a Twin Rotor System
Original language description
Accurate modeling of complex systems is essential for the development of advanced control strategies. While traditional integer-order models have been widely applied, fractional-order modeling offers superior accuracy in capturing system dynamics. Despite its potential, research on the offline identification of fractional-order models for twin rotor systems remains limited, especially using real-time measurement data. This study addresses this gap by investigating the offline identification of fractional-order models for the elevation and azimuth angles of a twin rotor system based on real-time data. The Fractional-Order Modeling and Control (FOMCON) toolbox in MATLAB is utilized for time-domain model identification. A comparative analysis is conducted between fractional-order and integer-order models, employing MATLAB’s fminsearch function, the explicit (one-time) Least Squares Method (LSM), the Recursive Least Squares Method (RLSM), and its modified variants. Key findings demonstrate that fractional-order models yield superior performance in approximating the elevation and azimuth dynamics compared to integer-order models, achieving improved model fitness and enhanced stability. These results highlight the potential of fractional-order models to significantly improve control system design for twin rotor applications. Overall, the study contributes a robust framework for plant modeling, paving the way for more precise and adaptive control strategies in complex rotor systems.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
—
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
Article name in the collection
Lecture Notes in Networks and Systems
ISBN
978-3-032-00070-5
ISSN
2367-3370
e-ISSN
2367-3389
Number of pages
22
Pages from-to
609-630
Publisher name
Springer Nature AG
Place of publication
Basel
Event location
Amsterdam
Event date
Aug 27, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001604686000037