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

Institutional repository: FER Repository

Cite this document

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

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

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

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 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:595540

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 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:595540

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

Metadata
TitleEstimacija brzine vrtnje sinkronog generatora vjetroagregata korištenjem Kalmanova filtra
Title (english)Kalman Filter based Speed Estimation for a Wind Turbine Synchronous Generator
AuthorTomislav Lončarek
MentorMario Vašak (mentor)
Committee memberMario Vašak (predsjednik povjerenstva)
Committee memberŽeljko Ban (član povjerenstva)
Committee memberMato Baotić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2014-07-11, 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)
Languagecroatian
URN:NBNurn:nbn:hr:168:595540
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 on2018-02-06 10:09:50