Modeling, Identification and Analysis of Twin Rotor MIMO Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F24%3A63585078" target="_blank" >RIV/70883521:28140/24:63585078 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-70285-3_34" target="_blank" >https://doi.org/10.1007/978-3-031-70285-3_34</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-70285-3_34" target="_blank" >10.1007/978-3-031-70285-3_34</a>
Alternative languages
Result language
angličtina
Original language name
Modeling, Identification and Analysis of Twin Rotor MIMO Systems
Original language description
This paper focuses on the modeling and identification of a Twin Rotor Multi-Input-Multi-Output Systems (TRMS). It begins with an overview of TRMS, followed by the formulation and analysis of a comprehensive nonlinear model based on first principles. The static characteristics of main-elevation and tail-azimuth are explored, considering the influence of rotors on each other. Factors affecting real-time model measurements are investigated. The paper then proceeds to identify TRMS parameters using the “fminsearch” algorithm, the Autoregressive Exogenous Input (ARX) model and Auto-Regressive Moving Average with Exogenous Input (ARMAX) models. Comparative analyses of results from each method are presented. Finally, a comprehensive comparison is made between the nonlinear model, linear models, and real-time experimental data for elevation /pitch and azimuth /yaw angles. This work significantly contributes to understanding TRMS systems, providing insights into nonlinear modeling, identification, and analysis. The findings establish a foundation for advancing comprehension of plant behavior and designing requisite control 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
2024
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
978-3-031-70284-6
ISSN
2367-3370
e-ISSN
2367-3389
Number of pages
5
Pages from-to
457-471
Publisher name
Springer Nature
Place of publication
Cham
Event location
Virtual, Online
Event date
Apr 25, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001413858800034