Optimized 8-Parameter Relay-Based Delayed Thermal Process Model Identification via Saturated Relay and Artificial Delay

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F71226401%3A_____%2F23%3AN0100831" target="_blank" >RIV/71226401:_____/23:N0100831 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-21438-7_10" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-21438-7_10</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-21438-7_10" target="_blank" >10.1007/978-3-031-21438-7_10</a>

Result language
angličtina
Original language name
Optimized 8-Parameter Relay-Based Delayed Thermal Process Model Identification via Saturated Relay and Artificial Delay
Original language description
This study aims at an extension and substantial improvement of the recently published relay-feedback parameter identification of an infinite-dimensional system thermal process model. The original procedure has applied the standard on/off relay to get a simplified model. Then, the dominant pole assignment has given rise to the process model characteristic quasi-polynomial via the Levenberg-Marquardt algorithm. Finally, the same optimization tool has been used to determine transfer function numerator parameters. On the contrary, a saturated relay is used to receive an improved initial simplified-model estimation in this contribution. As the process model in question has eight unknown parameters, a doubled relay test with artificial delay is made, which enables the estimation of all the parameters simultaneously. Moreover, the Nelder-Mead algorithm is used as the optimization tool. A numerical example validates an enhanced estimation in time and frequency domains.
Czech name
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Czech description
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Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
DATA SCIENCE AND ALGORITHMS IN SYSTEMS, 2022, VOL 2
ISBN
978-3-031-21438-7
ISSN
2367-3370
e-ISSN
2367-3389
Number of pages
14
Pages from-to
118-131
Publisher name
SPRINGER INTERNATIONAL PUBLISHING AG
Place of publication
Cham, Switzerland
Event location
online
Event date
Oct 10, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000992418500010

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