Fractional-Order Identification and Analysis of Elevation and Azimuth Dynamics in a Twin Rotor System

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Fractional-Order Identification and Analysis of Elevation and Azimuth Dynamics in a Twin Rotor System

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Fractional-Order Identification and Analysis of Elevation and Azimuth Dynamics in a Twin Rotor System

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Lecture Notes in Networks and Systems

ISBN

978-3-032-00070-5

ISSN

2367-3370

e-ISSN

2367-3389

Počet stran výsledku

22

Strana od-do

609-630

Název nakladatele

Springer Nature AG

Místo vydání

Basel

Místo konání akce

Amsterdam

Datum konání akce

27. 8. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001604686000037