Application of Results of Experimental Identification in Control of Laboratory Helicopter Model
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00188498" target="_blank" >RIV/68407700:21230/11:00188498 - isvavai.cz</a>
Výsledek na webu
<a href="http://advances.utc.sk/index.php/AEEE/article/download/517/718" target="_blank" >http://advances.utc.sk/index.php/AEEE/article/download/517/718</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Application of Results of Experimental Identification in Control of Laboratory Helicopter Model
Popis výsledku v původním jazyce
This article deals with experimental identification and control of laboratory helicopter model CE 150 manufactured by company Humusoft. Structure of the identified system was approximated by linear black-box models. Discrete Input/Output Auto-RegressiveMoving Average model with eXternal input (ARMAX) and its state space equivalent were used. Parameters of the models were estimated by regression techniques using System Identification Toolbox for Matlab. Acquired models were validated using simulations,residual analysis and real-time control. Input/output data necessary for identification were obtained by measurements from laboratory model and were processed using Real-Time Toolbox for Matlab. Based on acquired mathematical models input/output and state space controllers were designed (input/output pole placement with integration, state space pole placement with integration and observer). Designed controllers were implemented in Matlab environment using the Real Time Toolbox and their
Název v anglickém jazyce
Application of Results of Experimental Identification in Control of Laboratory Helicopter Model
Popis výsledku anglicky
This article deals with experimental identification and control of laboratory helicopter model CE 150 manufactured by company Humusoft. Structure of the identified system was approximated by linear black-box models. Discrete Input/Output Auto-RegressiveMoving Average model with eXternal input (ARMAX) and its state space equivalent were used. Parameters of the models were estimated by regression techniques using System Identification Toolbox for Matlab. Acquired models were validated using simulations,residual analysis and real-time control. Input/output data necessary for identification were obtained by measurements from laboratory model and were processed using Real-Time Toolbox for Matlab. Based on acquired mathematical models input/output and state space controllers were designed (input/output pole placement with integration, state space pole placement with integration and observer). Designed controllers were implemented in Matlab environment using the Real Time Toolbox and their
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
BC - Teorie a systémy řízení
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2011
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Advances in Electrical and Electronic Engineering
ISSN
1804-3119
e-ISSN
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Svazek periodika
9
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
10
Strana od-do
157-166
Kód UT WoS článku
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EID výsledku v databázi Scopus
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