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Title:Uporaba optimizacijskih algoritmov za samodejno nastavitev PID parametrov v PLK : magistrsko delo
Authors:ID Grm, Aljaž (Author)
ID Bratina, Božidar (Mentor) More about this mentor... New window
ID Muškinja, Nenad (Comentor)
Files:.pdf MAG_Grm_Aljaz_2024.pdf (3,70 MB)
MD5: E21D1C438A644726DE27642602C04F4D
 
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 opisanih nekaj optimizacijskih algoritmov, namenjenih iskanju optimalnih PID-parametrov glede na zahteve odprtozančnega odziva sistema 2. reda. Podrobneje je opisan optimizacijski algoritem diferencialne evolucije, ki je bil s pomočjo orodij Matlab preveden v obliko, primerno za izvedbo v PLK (SCL-funkcija). Zaradi matematične omejenosti je bilo treba v TIA-portalu ustvariti več lastnih funkcijskih blokov in funkcij, kot na primer generator naključnih števil, meritve stopničnega odziva itd. Delovanje funkcijskega bloka diferencialne evolucije smo testirali najprej v simulatorju, nato še na realnem procesu regulacije pretoka zraka.
Keywords:regulacija, PID, optimizacijski algoritmi, diferencialna evolucija, PLK
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[A. Grm]
Year of publishing:2024
Number of pages:1 spletni vir (1 datoteka PDF (XI, 63 str.))
PID:20.500.12556/DKUM-91339 New window
UDC:681.515.8.015.23(043.2)
COBISS.SI-ID:225868803 New window
Publication date in DKUM:15.01.2025
Views:146
Downloads:58
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:13.12.2024

Secondary language

Language:English
Title:Using optimization algorithms for automatic tuning of PID parameters in PLC
Abstract:In the master thesis, some optimisation algorithms are described to find the optimal PID parameters according to the requirements of the open-loop response of a second order system. The optimisation algorithm of differential evolution is described in detail and translated into a form suitable for implementation in PLK (SCL function) using Matlab tools. Due to mathematical limitations, it was necessary to create several custom function blocks and functions in the TIA portal, such as random number generator, step response measurements, etc. The performance of the differential evolution function block was tested first in a simulator and then on a real air flow control process.
Keywords:regulation, PID, optimization algorithms, differential evolution, PLC


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