prikaz prve stranice dokumenta Adaptivni algoritam za identifikaciju parametara sinkronog stroja sa stalnim magnetima
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master's thesis
Adaptivni algoritam za identifikaciju parametara sinkronog stroja sa stalnim magnetima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:033935
Vuger, Nikola
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Vuger, N. (2017). Adaptivni algoritam za identifikaciju parametara sinkronog stroja sa stalnim magnetima (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:033935

Vuger, Nikola. "Adaptivni algoritam za identifikaciju parametara sinkronog stroja sa stalnim magnetima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:033935

Vuger, Nikola. "Adaptivni algoritam za identifikaciju parametara sinkronog stroja sa stalnim magnetima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:033935

Vuger, N. (2017). 'Adaptivni algoritam za identifikaciju parametara sinkronog stroja sa stalnim magnetima', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:033935

Vuger N. Adaptivni algoritam za identifikaciju parametara sinkronog stroja sa stalnim magnetima [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 June 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:033935

N. Vuger, "Adaptivni algoritam za identifikaciju parametara sinkronog stroja sa stalnim magnetima", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:033935

Metadata
TitleAdaptivni algoritam za identifikaciju parametara sinkronog stroja sa stalnim magnetima
Title (english)Adaptive parameter identification for permanent magnet synchronous machine
AuthorNikola Vuger
MentorDamir Sumina (mentor)
Committee memberDamir Sumina (predsjednik povjerenstva)
Committee memberIgor Erceg (član povjerenstva)
Committee memberStjepan Stipetić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-03, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U uvodu rada dana je problematika poznavanja i identifikacije parametara sinkronih strojeva sa stalnim magnetima. Opisani su sinkroni strojevi sa stalnim magnetima te je dan matematički model stroja. Predstavljena je podjela algoritama za određivanje parametara strojeva te je dan pregled najčešće korištenih metoda identifikacije parametara. Za daljnju analizu odabrana je adaptivna metoda identifikacije parametara bazirana na sinkronizaciji stanja stroja sa stanjima kaotičnog sustava sličnih dinamičkih svojstava. Za navedenu metodu provedena je matematička analiza, dokazana je stabilnost sustava te izrađen simulacijski model za verifikaciju algoritma. Nakon simulacije provedena je analiza implementacije algoritma na mikrokontroler TMS320F28035. Analizom simulacijskih i eksperimentalnih rezultata utvrđene su prednosti i nedostaci obrađenog adaptivnog algoritma.
Abstract (english)
In the introduction of the work, the problem of knowledge and identification of parameters of synchronous machines with permanent magnets is given. Synchronous machines with permanent magnets are described and a mathematical model of the machine is given. The division of parameter identification algorithms have been presented and the overview of the most frequently used parameter identification methods is presented. For further analysis, the adaptive method of identifying parameters based on synchronization of machine states with the states of the chaotic system with similar dynamic properties is selected. For this method was performed mathematical analysis, demonstrated the stability of the system and developed a simulation model for the algorithm verification. After the simulation, an analysis of the implementation of the algorithm on TMS320F28035 microcontroller was performed. By analysing simulation and experimental results, the advantages and disadvantages of the processed adaptive algorithm were determined.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:033935
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2019-03-14 02:07:11