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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

DATA SCIENCE AND ALGORITHMS IN SYSTEMS, 2022, VOL 2

ISBN

978-3-031-21438-7

ISSN

2367-3370

e-ISSN

2367-3389

Počet stran výsledku

14

Strana od-do

118-131

Název nakladatele

SPRINGER INTERNATIONAL PUBLISHING AG

Místo vydání

Cham, Switzerland

Místo konání akce

online

Datum konání akce

10. 10. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000992418500010