Simulation approach to robust constrained control

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F14%3A43871829" target="_blank" >RIV/70883521:28140/14:43871829 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.15866/ireaco.v7i5.3495" target="_blank" >http://dx.doi.org/10.15866/ireaco.v7i5.3495</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15866/ireaco.v7i5.3495" target="_blank" >10.15866/ireaco.v7i5.3495</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Simulation approach to robust constrained control

Popis výsledku v původním jazyce

The presented contribution introduces a simple methodology for robust control system design in case of the limitations on a manipulated variable. For this task efficient simulation and optimization tools of the MATLAB environment are fruitfully exploited. The control system design is based on the polynomial approach resulting in the pole-placement problem to be solved. This task is addressed numerically by means of the standard MATLAB functions for nonlinear constrained optimization to meet both the constraints on the control input signal and robustness of the resultant closed-loop. Some new control quality criteria and procedure are introduced for this purpose. The suggested methodology is illustrated practically on a simulation example with a classical feedback control configuration and one optimized parameter. The presented results of robust constrained control of a magnetic levitation system show applicability of the suggested approach.

Název v anglickém jazyce

Simulation approach to robust constrained control

Popis výsledku anglicky

The presented contribution introduces a simple methodology for robust control system design in case of the limitations on a manipulated variable. For this task efficient simulation and optimization tools of the MATLAB environment are fruitfully exploited. The control system design is based on the polynomial approach resulting in the pole-placement problem to be solved. This task is addressed numerically by means of the standard MATLAB functions for nonlinear constrained optimization to meet both the constraints on the control input signal and robustness of the resultant closed-loop. Some new control quality criteria and procedure are introduced for this purpose. The suggested methodology is illustrated practically on a simulation example with a classical feedback control configuration and one optimized parameter. The presented results of robust constrained control of a magnetic levitation system show applicability of the suggested approach.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

International Review of Automatic Control

ISSN

1974-6059

e-ISSN

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Svazek periodika

7

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

IT - Italská republika

Počet stran výsledku

9

Strana od-do

467-475

Kód UT WoS článku

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EID výsledku v databázi Scopus

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