Modeling, Identification and Analysis of Twin Rotor MIMO Systems

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Modeling, Identification and Analysis of Twin Rotor MIMO Systems

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Modeling, Identification and Analysis of Twin Rotor MIMO Systems

Popis výsledku anglicky

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.

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

2024

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

978-3-031-70284-6

ISSN

2367-3370

e-ISSN

2367-3389

Počet stran výsledku

5

Strana od-do

457-471

Název nakladatele

Springer Nature

Místo vydání

Cham

Místo konání akce

Virtual, Online

Datum konání akce

25. 4. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001413858800034