Self-tuning PID controller using d-model identification
Result 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.
Keywords
self-tuning controlPID controldelta modelZiegler-Nichols criterion
The result's identifiers
Result code in IS VaVaI
Result on the web
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
Jx - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
GA102/02/0204: Design of intelligent adaptive control systems
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
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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
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EID of the result in the Scopus database
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Basic information
Result type
Jx - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP
BC - Theory and management systems
Year of implementation
2002