Kombinace diskrétní delta identifikace a spojité syntézy regulátoru

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F04%3A63502370" target="_blank" >RIV/70883521:28110/04:63502370 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Combination of Discrete Delta Identification and Continuous Controller Synthesis

Popis výsledku v původním jazyce

This paper considers the application of continuous self-tuning PID controller. The process is identified by the regression (ARX) model using the recursive least squares method (RLSM). The basic RLSM algorithm has been modified for the discrete delta model structures. This is used delta models for identification. Delta operator approximates derivative and the approximation becomes better as the sampling period tends to zero. The delta operator converges with decreased sampling period to a continuous operator ( ). For small sampling period can be used delta parameters as continuous parameters. Than can be used any continuous controller synthesis.The proposed hybrid control which consists of continuous-time self-tuning controller and recursive least square delta identification of the system demonstrate very good dynamic behaviour. Figure 1 shows the example of control process with very small sampling period . The advantages of this method include simplicity in the recursive identification

Název v anglickém jazyce

Combination of Discrete Delta Identification and Continuous Controller Synthesis

Popis výsledku anglicky

This paper considers the application of continuous self-tuning PID controller. The process is identified by the regression (ARX) model using the recursive least squares method (RLSM). The basic RLSM algorithm has been modified for the discrete delta model structures. This is used delta models for identification. Delta operator approximates derivative and the approximation becomes better as the sampling period tends to zero. The delta operator converges with decreased sampling period to a continuous operator ( ). For small sampling period can be used delta parameters as continuous parameters. Than can be used any continuous controller synthesis.The proposed hybrid control which consists of continuous-time self-tuning controller and recursive least square delta identification of the system demonstrate very good dynamic behaviour. Figure 1 shows the example of control process with very small sampling period . The advantages of this method include simplicity in the recursive identification

Druh

D - Stať ve sborníku

CEP obor

JP - Průmyslové procesy a zpracování

OECD FORD obor

—

Projekt

<a href="/cs/project/GP102%2F02%2FP042" target="_blank" >GP102/02/P042: Využití delta modelů pro adaptivní řízení procesů</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2004

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings the 6th International Scientific - Technical Conference Proces Control 2004

ISBN

80-7194-662-1

ISSN

—

e-ISSN

—

Počet stran výsledku

1

Strana od-do

1

Název nakladatele

Univerzita Pardubice

Místo vydání

Pardubice

Místo konání akce

Kouty nad Desnou

Datum konání akce

8. 6. 2004

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

—