Hybrid Adaptive Control Using Delta Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F04%3A63502371" target="_blank" >RIV/70883521:28110/04:63502371 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Hybrid Adaptive Control Using Delta Models
Original language description
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.
Czech name
Hybridní adaptivní řízení pomocí delta modelů
Czech description
Aplikace spojitého STC PID. Proces je identifikován ARX modelem - rekurzivní MNC modifikovanou pro delta modely. Delta operátor aproximuje derivaci - aproximace se zlepšuje se zmenšující se periodou vzorkování - delta operátor potom konverguje ke spojitému operátoru s. Pro velmi malé periody vzorkování můžou být využity delta parametry jako spojité a může být využita libovolnéá spojitá syntéza regulátoru.
Classification
Type
D - Article in proceedings
CEP classification
JP - Industrial processes and processing
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GP102%2F02%2FP042" target="_blank" >GP102/02/P042: Usage of delta models for adaptive process control</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. 8th international research/expert conference Trends in the development of machinery and associated technology 2004
ISBN
9958-617-21-8
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
883-886
Publisher name
University of Algarve
Place of publication
Zenica, Bosna a Hercegovina
Event location
Neum
Event date
Sep 2, 2004
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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