Optimizacija parametrov regulatorja z genetskim algoritmom : magistrsko delo

Medved, Kristijan

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Title:	Optimizacija parametrov regulatorja z genetskim algoritmom : magistrsko delo
Authors:	ID Medved, Kristijan (Author) ID Golob, Marjan (Mentor) More about this mentor...
Files:	MAG_Medved_Kristijan_2022.pdf (3,33 MB) MD5: 01404A6A7173A5386C1D0D63CEDB2CFE PID: 20.500.12556/dkum/77062270-7441-4ba8-a7b2-464bac07b3fa
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 procesu izdelave magistrskega dela smo sprogramirali zvezni genetski algoritem, ki smo ga uporabili za optimizacijo parametrov PID regulatorja. Za preizkus delovanja algoritma smo replicirali industrijski proces regulacije izhodnega tlaka dveh zaporedno vezanih tlačnih posod in nelinearnega člena. V ta namen smo izdelali sistem vodenja s programom TIA Portal, za oddaljen dostop do procesa pa smo uporabili program KEPServerEX. Procesne odzive smo zajeli pred in po optimizaciji ter ugotovili, da je s predstavljenim optimizacijskim algoritmom mogoče optimizirati parametre PID regulatorja, ne da bi prekinili delovanje procesa.
Keywords:	genetski algoritem, optimizacija, digitalni dvojček, PID regulator
Place of publishing:	Maribor
Place of performance:	Maribor
Publisher:	[K. Medved]
Year of publishing:	2022
Number of pages:	1 spletni vir (1 datoteka PDF (XXI, 76 f.))
PID:	20.500.12556/DKUM-82005
UDC:	681.515.8:004.8(043.2)
COBISS.SI-ID:	116058115
Publication date in DKUM:	08.07.2022
Views:	1012
Downloads:	191
Metadata:
Categories:	KTFMB - FERI
:	MEDVED, Kristijan, 2022, Optimizacija parametrov regulatorja z genetskim algoritmom : magistrsko delo [online]. Master’s thesis. Maribor : K. Medved. [Accessed 20 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=82005 Copy citation

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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:	28.06.2022

Secondary language

Language:	English
Title:	Controler parameters optimization with genetic algorithm
Abstract:	In the process of creating the master's thesis, we programmed a continues genetic algorithm, which we used to optimize the parameters of the PID controller. To test the operation of the algorithm, we replicated the industrial process of regulating the outlet pressure of two series-connected pressure vessels and a nonlinear component. For this purpose, we created a management system with the TIA Portal program, and we used the KEPServerEX program for remote access to the process. Process responses were captured before and after optimization and it was found that with the presented optimization algorithm it is possible to optimize the parameters of the PID controller without interrupting the operation of the process.
Keywords:	genetic algorithm, optimization, digital twin, PID controller

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