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master's thesis
Modeliranje i analiza reluktantnog induktivnog senzora zakreta korištenjem FEM alata
2023. urn:nbn:hr:200:223413
Horvat, David
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Electromechanical Engineering
Chair of Fundamentals of Electrical Engineering and Measurements

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Horvat, D. (2023). Modeliranje i analiza reluktantnog induktivnog senzora zakreta korištenjem FEM alata (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:223413

Horvat, David. "Modeliranje i analiza reluktantnog induktivnog senzora zakreta korištenjem FEM alata." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:200:223413

Horvat, David. "Modeliranje i analiza reluktantnog induktivnog senzora zakreta korištenjem FEM alata." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:200:223413

Horvat, D. (2023). 'Modeliranje i analiza reluktantnog induktivnog senzora zakreta korištenjem FEM alata', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 05 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:223413

Horvat D. Modeliranje i analiza reluktantnog induktivnog senzora zakreta korištenjem FEM alata [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2023 [cited 2025 January 05] Available at: https://urn.nsk.hr/urn:nbn:hr:200:223413

D. Horvat, "Modeliranje i analiza reluktantnog induktivnog senzora zakreta korištenjem FEM alata", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:200:223413

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Metadata
TitleModeliranje i analiza reluktantnog induktivnog senzora zakreta korištenjem FEM alata
Title (english)Modeling and analisys of reluctance inductive angle sensor by using FEM tools
AuthorDavid Horvat
MentorMarinko Barukčić (mentor)
Committee memberMarinko Barukčić (član povjerenstva)
Committee memberTomislav Barić (predsjednik povjerenstva)
Committee memberVenco Ćorluka (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Electromechanical Engineering)
(Chair of Fundamentals of Electrical Engineering and Measurements)
Osijek
Defense date and country2023-10-02, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
Abstract
Zadatak ovog diplomskog rada bio je provesti optimizaciju reulktantnog senzora zakreta motora, odnosno rezolvera varijabilne reluktancije. Optimizacija je provedena korištenjem alata za numeričke simulacije magnetskih polja Femm u kombinaciji sa skriptiranjem u Pythonu. U Pythonu je napisana skripta koja automatizira crtanje geometrije, provedbe simulacija i analize rezultata. Optimizacija se provodi korištenjem jednog od metaheurističkih optimizacijskih algoritama – diferencijalna evolucija. Na kraju je za optimalnu geometriju senzora prikazan 2D model senzora zajedno sa rezultatima simulacija.
Abstract (english)
The task of this master's thesis was to optimize the variable reluctance resolver. The optimization was carried out using the tool for numerical simulations of magnetic fields Femm in combination with scripting in Python. A script was written in Python that automates the drawing of geometry, running of simulations and the analysis of results. The optimization itself is carried out using one of the metaheuristic optimization algorithms - differential evolution. At the end, a 2D model of the sensor together with the results of the simulations is presented for the optimal geometry of the sensor.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:223413
Study programmeTitle: Graduate University Study Programme in Electrical Engineering; specializations in: Communications and Informatics, Power Engineering
Course: Power Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-10-13 09:10:23