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undergraduate thesis
Primjena Kalman filtera za procjenu stanja istosmjernog stroja
2023. urn:nbn:hr:200:697559
Ronta, Patricija
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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Ronta, P. (2023). Primjena Kalman filtera za procjenu stanja istosmjernog stroja (Undergraduate 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:200:697559

Ronta, Patricija. "Primjena Kalman filtera za procjenu stanja istosmjernog stroja." Undergraduate 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:200:697559

Ronta, Patricija. "Primjena Kalman filtera za procjenu stanja istosmjernog stroja." Undergraduate 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:200:697559

Ronta, P. (2023). 'Primjena Kalman filtera za procjenu stanja istosmjernog stroja', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 15 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:697559

Ronta P. Primjena Kalman filtera za procjenu stanja istosmjernog stroja [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2023 [cited 2024 November 15] Available at: https://urn.nsk.hr/urn:nbn:hr:200:697559

P. Ronta, "Primjena Kalman filtera za procjenu stanja istosmjernog stroja", Undergraduate 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:200:697559

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Metadata
TitlePrimjena Kalman filtera za procjenu stanja istosmjernog stroja
Title (english)Kalman filter based DC machine state estimation
AuthorPatricija Ronta
MentorMarinko Barukčić (mentor)
MentorTin Benšić (sumentor)
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, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Electromechanical Engineering
Abstract
U ovom je radu pružena detaljna teorijska analiza potrebna za razumijevanje načina rada Kalman filtra. Detaljno je objašnjen algoritam filtra potkrijepljen jednadžbama predikcije i korekcije. Prije implementacije Kalman filtra, pomoću Kirchoffovih zakona napona i struje te diferencijalnih jednadžbi, izveo se matematički model električne mreže trećeg reda i istosmjernog (DC) stroja u prostoru stanja. Na tako definirane modele, primijenio se Kalman filter pomoću MATLAB koda i MATLAB Simulink okruženja. Za svaki se model postavilo nekoliko proizvoljno zadanih početnih parametara te se testirao i ispitivao načina rada Kalman filtra u svakom novom okruženju. Osim prikaza i analize načina rada filtra, računale su se vrijednosti RMSE, reziduali i predikcijske pogreške za svaku novu promjenu kako bi se pružila dublja i detaljnija analiza dinamike sustava i procjene stanja Kalman filtrom.
Abstract (english)
This paper provides a detailed theoretical analysis necessary for understanding the operation of the Kalman filter. The algorithm of the filter is thoroughly explained, supported by prediction and correction equations. Before implementing the Kalman filter, a mathematical model of a third-order electrical network and a Direct Current (DC) machine in state-space was derived using Kirchhoff’s voltage and current laws and differential equations. The Kalman filter was then applied to these defined models using MATLAB code and MATLAB Simulink environment. For each model, several arbitrarily chosen initial parameters were set, and the operation of the Kalman filter was tested and examined in each new environment. In addition to demonstrating and analyzing the filter’s operation, RMSE values, residuals, and prediction errors were calculated for each new change to provide a deeper and more detailed analysis of system dynamics and state estimation by the Kalman filter.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:697559
Study programmeTitle: Undergraduate University Study Programme
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
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Created on2023-10-19 09:39:50