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Self-tuning PID controller using d-model identification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F02%3A63500639" target="_blank" >RIV/70883521:28110/02:63500639 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Self-tuning PID controller using d-model identification

  • Original language description

    This contribution presents an application of a self-tuning digital PID controller for process control modelled by d - models. The process is identified by the regression (ARX) model using the recursive least squares method (RLSM) with LD decomposition and applied directional forgetting. Controller synthesis is designed on the basis of a modified Ziegler-Nichols criterion for digital PID control loops. The ultimate (critical) proportional gain and period of oscillations have been derived for the second -order d - model. Control results using digital PID controller on the basic d - models and z - models are compared.

  • Czech name

  • Czech description

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

    <a href="/en/project/GA102%2F02%2F0204" target="_blank" >GA102/02/0204: Design of intelligent adaptive control systems</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2002

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Adaptive Control and Signal Processing

  • ISSN

    0890-6327

  • e-ISSN

  • Volume of the periodical

    16

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    16

  • Pages from-to

    455-471

  • UT code for WoS article

  • EID of the result in the Scopus database