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doctoral thesis
Bezsenzorsko upravljanje sinkronim vjetrogeneratorom s permanentnim magnetima zasnovano na opserveru u kliznom načinu rada
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:823987
Jukić, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electric Machines, Drives and Automation

Institutional repository: FER Repository

Cite this document

Jukić, F. (2022). Bezsenzorsko upravljanje sinkronim vjetrogeneratorom s permanentnim magnetima zasnovano na opserveru u kliznom načinu rada (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:823987

Jukić, Filip. "Bezsenzorsko upravljanje sinkronim vjetrogeneratorom s permanentnim magnetima zasnovano na opserveru u kliznom načinu rada." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:823987

Jukić, Filip. "Bezsenzorsko upravljanje sinkronim vjetrogeneratorom s permanentnim magnetima zasnovano na opserveru u kliznom načinu rada." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:823987

Jukić, F. (2022). 'Bezsenzorsko upravljanje sinkronim vjetrogeneratorom s permanentnim magnetima zasnovano na opserveru u kliznom načinu rada', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 29 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:823987

Jukić F. Bezsenzorsko upravljanje sinkronim vjetrogeneratorom s permanentnim magnetima zasnovano na opserveru u kliznom načinu rada [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 June 29] Available at: https://urn.nsk.hr/urn:nbn:hr:168:823987

F. Jukić, "Bezsenzorsko upravljanje sinkronim vjetrogeneratorom s permanentnim magnetima zasnovano na opserveru u kliznom načinu rada", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:823987

Metadata
TitleBezsenzorsko upravljanje sinkronim vjetrogeneratorom s permanentnim magnetima zasnovano na opserveru u kliznom načinu rada
Title (english)Sensorless control of permanent magnet wind generator based on sliding-mode observer
AuthorFilip Jukić
MBZ: 359444
MentorDamir Sumina (mentor)
Committee memberIgor Erceg (predsjednik povjerenstva)
Committee memberMartina Kutija (član povjerenstva)
Committee memberNeven Bulić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Electric Machines, Drives and Automation)
Zagreb
Defense date and country2022-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
Ovaj doktorski rad predstavlja istraživanje bezsenzorskog upravljanja vjetrogeneratorom s permanentnim magnetima temeljeno na opserveru u kliznom načinu rada. Prvi dio disertacije donosi pregled najčešće korištenih topologija vjetroagregata, fizikalne osnove pretvorbe energije vjetra, matematički model sinkronog generatora s permanentnim magnetima te standardne algoritme upravljanja AC-DC-AC pretvaračem. Nakon toga, dan je uvod u teoriju kliznih režima. Zatim je opisan laboratorijski postav na kojem je izvršena eksperimentalna verifikacija predloženih algoritama. Iza opisa laboratorijskog postava, predstavljen je znanstveni doprinos disertacije koji se dijeli na tri dijela: 1) metoda za bezsenzorsko upravljanje sinkronim vjetrogeneratorom s permanentnim magnetima temeljena na opserveru u kliznom načinu rada, estimiranom rotirajućem koordinatnom sustavu i modelu aktivnog magnetskog toka vjetrogeneratora, 2) metoda za leteći start sinkronog vjetrogeneratora s permanentnim magnetima temeljena na opserveru u kliznom načinu rada prilagođenom isprekidanom radu energetskog pretvarača i 3) metoda za adaptaciju induktiviteta u poprečnoj osi rotirajućeg koordinatnog sustava primjenom aproksimativne funkcije s ciljem smanjenja estimacijske greške opservera u kliznom načinu rada. Razvijene metode eksperimentalno su potvrđene. Laboratorijski postav sastoji se od sinkronog generatora s permanentnom magnetima, pretvarača i asinkronog stroja. Upravljački algoritmi za pretvarač napisani su u programskom jeziku C i implementirani u digitalni upravljački sustav temeljen na procesoru Delfino C28343.
Abstract (english)
This dissertation presents a study of sensorless control of a permanent magnet wind generator based on a sliding mode observer. The first part gives an overview of the most common topologies of wind energy conversion systems, the physical principles of wind energy conversion, a mathematical model of a synchronous generator with permanent magnets, and the standard algorithms for controlling AC-DC-AC converters. This is followed by an introduction to sliding mode theory. Then, the laboratory setup in which the proposed algorithms were verified is described. Finally, the scientific contribution of the thesis is presented, which is divided into three parts: 1) a method for sensorless control of a permanent magnet wind generator based on a sliding mode observer modeled in an estimated rotating coordinate system using a model of the active magnetic flux of the rotor, 2) a method for sensorless flying start of a permanent magnet wind generator based on a sliding mode observer adapted to the discontinuous operation of the converter, and 3) a method for reducing the estimation error of the sliding mode observer based on the approximation function for fitting the q-axis inductance. The developed methods were experimentally confirmed. The laboratory setup consists of a permanent magnet wind generator, a converter and an asynchronous machine. The control algorithms for the converter were written in the C programming language and implemented in a digital control system based on the Delfino C28343 processor.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:823987
Promotion2023
Study programmeTitle: Doctoral study programme "Electrical Engineering and Computing"
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, po-dručje tehničkih znanosti (doktor/doktorica znanosti, po-dručje tehničkih znanosti)
Type of resourceText
Extent217 str. : graf. prikazi ; 31 cm + CD-ROM.
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-03-27 08:48:46