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Predictive control based on CARIMA process model and Kalman estimator

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F07%3A00005225" target="_blank" >RIV/00216275:25530/07:00005225 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predictive control based on CARIMA process model and Kalman estimator

  • Original language description

    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-stateKalman 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.

  • Czech name

    Prediktivní řízení založené na CARIMA modelu a Kalmánově pozorovateli

  • Czech description

    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.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2007

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Ovidius University Annual Scientific Journal - Mechanical engineering series

  • ISSN

    1224-1776

  • e-ISSN

  • Volume of the periodical

    1

  • Issue of the periodical within the volume

    IX

  • Country of publishing house

    RO - ROMANIA

  • Number of pages

    4

  • Pages from-to

    39-42

  • UT code for WoS article

  • EID of the result in the Scopus database