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  • Model Predictive Control je obecná problematika jak navrhovat řízení v diskrétní oblasti. Integrated Controller Auto-Regressive Moving-Average (CARIMA) model řízeného systému je použit pro výpočet predikce budoucího chování soustavy. Model šumu - polynomiální matici lze chápat jako filtr dat, který snižuje citlivost regulátoru k poruchám o vysokých frekvencích. Otázkou zůstává jak volit nebo navrhnout tento filtr. Je navržen Kalmánův pozorovatel pro daný proces a parametry šumu a jeho charakteristický polynom je použit při výpočtu regulátoru. Navrhovaná metoda je demonstrována na řízení laboratorní úlohy. (cs)
  • Model Predictive Control is general methodology how to cope with optimal control problem in discrete-time domain. Integrated Controller Auto-Regressive Moving-Average (CARIMA) process model is used for future plant output predictions by Generalized Predictive Controller. Noise polynomial matrix in process model serves as a data filter to detune controller sensitivity to high frequency disturbances e.g. against measurement noise. Open question remains how to design this filter. In the paper steady-state Kalman estimator is calculated for given process model and noise parameters. Its characteristic polynomial is used as a process model noise polynomial ? that means Kalman estimator as a process model is controlled. Suggested method is proved on laboratory plant control experiments.
  • Model Predictive Control is general methodology how to cope with optimal control problem in discrete-time domain. Integrated Controller Auto-Regressive Moving-Average (CARIMA) process model is used for future plant output predictions by Generalized Predictive Controller. Noise polynomial matrix in process model serves as a data filter to detune controller sensitivity to high frequency disturbances e.g. against measurement noise. Open question remains how to design this filter. In the paper steady-state Kalman estimator is calculated for given process model and noise parameters. Its characteristic polynomial is used as a process model noise polynomial ? that means Kalman estimator as a process model is controlled. Suggested method is proved on laboratory plant control experiments. (en)
Title
  • Predictive control based on CARIMA process model and Kalman estimator
  • Prediktivní řízení založené na CARIMA modelu a Kalmánově pozorovateli (cs)
  • Predictive control based on CARIMA process model and Kalman estimator (en)
skos:prefLabel
  • Predictive control based on CARIMA process model and Kalman estimator
  • Prediktivní řízení založené na CARIMA modelu a Kalmánově pozorovateli (cs)
  • Predictive control based on CARIMA process model and Kalman estimator (en)
skos:notation
  • RIV/00216275:25530/07:00005225!RIV08-MSM-25530___
http://linked.open.../vavai/riv/strany
  • 39-42
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021627505)
http://linked.open...iv/cisloPeriodika
  • IX
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
  • 443571
http://linked.open...ai/riv/idVysledku
  • RIV/00216275:25530/07:00005225
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  • Generalized Predictive Control; Kalman estimator; T-polynomial matrix (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • RO - Rumunsko
http://linked.open...ontrolniKodProRIV
  • [A3C5673D884F]
http://linked.open...i/riv/nazevZdroje
  • Ovidius University Annual Scientific Journal - Mechanical engineering series
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 1
http://linked.open...iv/tvurceVysledku
  • Honc, Daniel
http://linked.open...n/vavai/riv/zamer
issn
  • 1224-1776
number of pages
http://localhost/t...ganizacniJednotka
  • 25530
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