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Title:Omrežno vodenje sistema z nelinearnim modelno prediktivnim regulatorjem : magistrsko delo
Authors:ID Kobovc, Blaž (Author)
ID Sarjaš, Andrej (Mentor) More about this mentor... New window
Files:.pdf MAG_Kobovc_Blaz_2025.pdf (4,55 MB)
MD5: B078231BCA7B43BBAAFFC35349944276
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V magistrskem delu je predstavljena regulacija temperatur dveh medsebojno vplivajočih se grelcev z nelinearnim modelno prediktivnim regulatorjem, ki je deloval v omrežnem načinu. Izvajal se je na osebnem računalniku in komuniciral z mikrokrmilnikom preko UDP protokola. Modelno prediktivni regulator uporablja dinamični model in rešuje optimizacijski problem vsako sekundo za predikcijo temperatur v prihodnosti. Zato sem potreboval natančen model sistema, ki sem ga določil na podlagi zakona o ohranitvi energije in izboljšal z optimizacijo neznanih parametrov.
Keywords:MIMO sistem, nelinearni modelno prediktivni regulator, temperatura, optimizacija parametrov, UDP protokol
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[B. Kobovc]
Year of publishing:2025
Number of pages:1 spletni vir (1 datoteka PDF (XI, 66 str.))
PID:20.500.12556/DKUM-95709 New window
UDC:681.536.5(043.2)
COBISS.SI-ID:262196483 New window
Publication date in DKUM:05.11.2025
Views:173
Downloads:35
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:14.10.2025

Secondary language

Language:English
Title:Networked nonlinear model predictive controller design
Abstract:The master's thesis presents the temperature control of two mutually interacting heaters using a nonlinear model predictive controller, operated in a network-based setup on a personal computer and communicated with a microcontroller via the UDP protocol. A model predictive controller uses a dynamic model and solves an optimization problem every second to predict future temperatures. Therefore, an accurate system model was required, which was determined based on the energy balance equations and refined through parameter optimization. The accurate mathematical description of the real system was essential for precisely operating dual-channel temperature control.
Keywords:MIMO system, heater, nonlinear model predictive controller, temperature, parameter optimization, UDP protocol


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