About: Combination of Discrete Delta Identification and Continuous Controller Synthesis     Goto   Sponge   Distinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Příspěvek popisuje kombinaci spojitého samočinně se nastavujícího PID regulátoru a průběžné diskrétní Delta identifikace. Proces je identifikován rekurzivní metodou nejmenších čtverců, která je modifikována pro diskrétní delta modely. Delta model aproximuje derivaci. Se zmenšující se periodu vzorkování dostáváme kvalitnější aproximaci. Z toho je zřejmé, že Delta operátor konverguje se snižující se periodou vzorkování k spojitému operátoru. Potom pro velmi malé periody vzorkování lze prohlásit, že delta parametry soustavy velmi přesně aproximují spojité parametry. S využitím tohoto předpokladu můžeme po Delta identifikaci použít libovolnou spojitou syntézu regulátoru.Navržené Hybridní řízení, které se skládá ze spojitého samočinně se nastavujícího regulátoru a rekurzivní Delta identifikace založené na metodě nejmenších čtverců vykazuje velmi dobré dynamické vlastnosti. příspěvek ukazuje příklad řízení s velmi malou periodou vzorkování. Výhody této nové metody zahrnují jednoduchost v rekurzivní identifi (cs)
  • 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 part (the
  • 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 part (the (en)
Title
  • Combination of Discrete Delta Identification and Continuous Controller Synthesis
  • Combination of Discrete Delta Identification and Continuous Controller Synthesis (en)
  • Kombinace diskrétní delta identifikace a spojité syntézy regulátoru (cs)
skos:prefLabel
  • Combination of Discrete Delta Identification and Continuous Controller Synthesis
  • Combination of Discrete Delta Identification and Continuous Controller Synthesis (en)
  • Kombinace diskrétní delta identifikace a spojité syntézy regulátoru (cs)
skos:notation
  • RIV/70883521:28110/04:63502370!RIV/2005/GA0/281105/N
http://linked.open.../vavai/riv/strany
  • 1
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GP102/02/P042), Z(MSM 281100001)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 558073
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28110/04:63502370
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Delta; identification; adaptive control; continuous controller (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [2D4996B122D8]
http://linked.open...v/mistoKonaniAkce
  • Kouty nad Desnou
http://linked.open...i/riv/mistoVydani
  • Pardubice
http://linked.open...i/riv/nazevZdroje
  • Proceedings the 6th International Scientific - Technical Conference Proces Control 2004
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bobál, Vladimír
  • Sysel, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Univerzita Pardubice
https://schema.org/isbn
  • 80-7194-662-1
http://localhost/t...ganizacniJednotka
  • 28110
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 85 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software