Estimacija brzine vrtnje sinkronog generatora vjetroagregata korištenjem Kalmanova filtra

Lončarek, Tomislav

prikaz prve stranice dokumenta Estimacija brzine vrtnje sinkronog generatora vjetroagregata korištenjem Kalmanova filtra

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master's thesis

Estimacija brzine vrtnje sinkronog generatora vjetroagregata korištenjem Kalmanova filtra

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. urn:nbn:hr:168:595540

Lončarek, Tomislav

University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

APA 6th Edition

Lončarek, T. (2014). Estimacija brzine vrtnje sinkronog generatora vjetroagregata korištenjem Kalmanova filtra (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:595540

MLA 8th Edition

Lončarek, Tomislav. "Estimacija brzine vrtnje sinkronog generatora vjetroagregata korištenjem Kalmanova filtra." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:595540

Chicago 17th Edition

Harvard

Lončarek, T. (2014). 'Estimacija brzine vrtnje sinkronog generatora vjetroagregata korištenjem Kalmanova filtra', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 18 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:595540

Vancouver

Lončarek T. Estimacija brzine vrtnje sinkronog generatora vjetroagregata korištenjem Kalmanova filtra [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2014 [cited 2024 April 18] Available at: https://urn.nsk.hr/urn:nbn:hr:168:595540

IEEE

T. Lončarek, "Estimacija brzine vrtnje sinkronog generatora vjetroagregata korištenjem Kalmanova filtra", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:595540

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:595540

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Metadata

Title	Estimacija brzine vrtnje sinkronog generatora vjetroagregata korištenjem Kalmanova filtra
Title (english)	Kalman Filter based Speed Estimation for a Wind Turbine Synchronous Generator
Author	Tomislav Lončarek
Mentor	Mario Vašak (mentor)
Committee member	Mario Vašak (predsjednik povjerenstva)
Committee member	Željko Ban (član povjerenstva)
Committee member	Mato Baotić (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing Zagreb
Defense date and country	2014-07-11, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering
Abstract	Direktno pogonjeni generatori u vjetroagregatima su važni i izazovni problem zbog svih prednosti prijenosa rotacije bez mehaničkog prijenosnika. Takvi vjetroagregati uobičajeno koriste sensor pozicije za potrebe algoritma upravljanja. Taj senzor često radi u teškim i ekstremnim radnim okruženjima što predstavlja kritčnu točku za povećanje raspoloživosti sustava vjetroagregata. Tema ovoga rada je eliminacija encodera montiraanog na osovinu generatora vjetroagregata implementacijom algoritma za estimaciju kuta zakreta i brzine vrtnje rotora generatora. Za realizaciju vektorskog upravljanja direktno pogonjenih sinkgornih generatora s permanentnim magnetima ili uzbudnim namotima u vjetroagregatim bez senzora kuta zakreta i brzine vrtnje, implemenetiran je nederivirajući Kalmanov filtar za estimaciju kuta zakreta i brzine vrtnje. Prije implementacije algoritma na laboratorijskom postavu i testa točnosti potrebno je testirati razvijene algoritme simulacijski. Rezultati simulacija s UKF estimacijom i u uvjetima promjenjivog vjetra pokazuju da se razvijeni algoritam može učinkovito koristiti za esimaciju kuta zakreta i brzine vrtnje generatora vjetroagregata. Eksperimentalni rezultati pokazuju da su karakteristike predložene metode dobre i da su estimacije kuta zakreta i brzine vrtnje generatora točne.
Abstract (english)	Direct drive for wind turbines is a relevant and challenging issue, hence they carry all of the advantages of gearless motion transmission. Nevertheless, they need customization for the housing of the position sensor. This sensor is often forced to work in hard, even extreme, environmental conditions, and it actually represents the most critical item for the drive reliability. In this case, the sensorless solution is necessary. This thesis has the main scope to eliminate the encoder mounted on the shaft of a PMSG or a WRSG for wind turbine applications by implementing an algorithm from were the position and speed will be determinated. To realize vector control for direct-driven PMSG or WRSG in energy generation system without position and speed sensors,Uncsented Kalman Filtering (UKF) algorithm was applied to estimate rotor position and speed. Before implementing the algorithm in the laboratory and test the corecteness is necessary to test the theoretical performance by using the simulations. The simulation results of PMSG and WRSG with UKF sensorless control under the variable wind condition, show that the Uncsented Kalman Filter can be efficiently implemented to estimate the speed and rotor position. The experimental results show the proposed method performs well and speed and angle estimation is correct.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:595540
Study programme	Title: 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 resource	Text
File origin	Born digital
Access conditions	Closed access
Terms of use
Public note
Repository	FER Repository
Created on	2018-02-06 10:09:50

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