| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Optimizacija sprotnega nastavljanja parametrov regulatorja z uporabo hibridnih mehkih sistemov
Authors:ID Rakun, Matevž (Author)
ID Golob, Marjan (Mentor) More about this mentor... New window
Files:.pdf MAG_Rakun_Matevz_2025.pdf (5,30 MB)
MD5: 200603434F2047D2F731061E9372BB35
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Magistrsko delo obravnava razvoj in uporabo hibridnih mehkih sistemov za sprotno optimizacijo parametrov proporcionalno-integrirno-diferencirnih regulatorjev v realnem času. Izvedena sta bila pregled in primerjava različnih obstoječih algoritmov hibridnih mehkih sistemov, poudarek pa je na hibridnem sistemu, ki združuje optimizacijo z roji delcev in mehko sklepanje kot najbolj obetavno rešitev. V okviru raziskave je bil analiziran vpliv različnih dejavnikov in parametrov na učinkovitost regulatorja, da bi se doseglo čim bolj optimalne rezultate. Učinkovitost predlaganega sistema je bila ovrednotena s simulacijami, rezultate pa se je primerjalo s tradicionalnimi proporcionalno-integrirno-diferencirnimi regulatorji. Ugotovitve potrjujejo, da hibridni mehki sistemi omogočajo izboljšano regulacijo zlasti pri kompleksnih in nelinearnih procesih.
Keywords:hibridni mehki sistemi, optimizacija z roji delcev, regulator PID
Place of publishing:Maribor
Publisher:[M. Rakun]
Year of publishing:2025
PID:20.500.12556/DKUM-91749 New window
UDC:681.515.8(043.2)
COBISS.SI-ID:229459459 New window
Publication date in DKUM:03.03.2025
Views:239
Downloads:61
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

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:31.01.2025

Secondary language

Language:English
Title:Optimization of real-time controller parameter tuning using hybrid fuzzy systems
Abstract:This master's thesis focuses on the development and application of hybrid fuzzy systems for real-time optimization of proportional-integral-derivative controller parameters. Initially, we reviewed and compared various existing algorithms for hybrid fuzzy systems and identified the hybrid system combining particle swarm optimization and fuzzy inference as the most promising approach. The research involved analysing the influence of different factors and parameters on controller performance to achieve the most optimal results. The proposed system's efficiency was evaluated through simulations, and the results were compared with those of traditional proportional-integral-derivative controllers. The findings confirm that hybrid fuzzy systems significantly enhance control performance, particularly in complex and nonlinear processes.
Keywords:hybrid fuzzy systems, particle swarm optimization, PID controller


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica