Adaptive predictive control of nonlinear system with constraint of manipulated variable

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F09%3A63507938" target="_blank" >RIV/70883521:28140/09:63507938 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Adaptive predictive control of nonlinear system with constraint of manipulated variable

Popis výsledku v původním jazyce

The paper is focused in design of an adaptive predictive control algorithm and its application for control of a laboratory servo ? motor. The algorithm considers constraints of a manipulated variable. The adaptive predictive controller is based on an analytical design of a structure of the laboratory model and measured both static and dynamic characteristics. An ARX model is used in the identification part of the adaptive controller. Its parameters are recursively estimated using the recursive least squares method with the directional forgetting. The control algorithm is based on the Generalised Predictive Control (GPC) method. The optimization was realized by minimization of a quadratic objective function. The predictive controllers design is based ona CARIMA model of the second order. A recursive algorithm was designed for computation of predictions. This predictive controller was verified by a real-time control of highly nonlinear laboratory model ? Amira DR300 Speed Control with V

Název v anglickém jazyce

Adaptive predictive control of nonlinear system with constraint of manipulated variable

Popis výsledku anglicky

The paper is focused in design of an adaptive predictive control algorithm and its application for control of a laboratory servo ? motor. The algorithm considers constraints of a manipulated variable. The adaptive predictive controller is based on an analytical design of a structure of the laboratory model and measured both static and dynamic characteristics. An ARX model is used in the identification part of the adaptive controller. Its parameters are recursively estimated using the recursive least squares method with the directional forgetting. The control algorithm is based on the Generalised Predictive Control (GPC) method. The optimization was realized by minimization of a quadratic objective function. The predictive controllers design is based ona CARIMA model of the second order. A recursive algorithm was designed for computation of predictions. This predictive controller was verified by a real-time control of highly nonlinear laboratory model ? Amira DR300 Speed Control with V

Druh

D - Stať ve sborníku

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

<a href="/cs/project/1M0567" target="_blank" >1M0567: Centrum aplikované kybernetiky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2009

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceeding of the 28th IASTED International Conference on Modelling, Identification and Control

ISBN

978-0-88986-781-9

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

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Název nakladatele

ACTA Press

Místo vydání

Calgary

Místo konání akce

Innsbruck

Datum konání akce

18. 2. 2009

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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