prikaz prve stranice dokumenta Suboptimalno multikriterijsko upravljanje megavatnim vjetroagregatom
No public access
master's thesis
Suboptimalno multikriterijsko upravljanje megavatnim vjetroagregatom
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. urn:nbn:hr:168:627413
Santrić, Luka
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Santrić, L. (2014). Suboptimalno multikriterijsko upravljanje megavatnim vjetroagregatom (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:627413

Santrić, Luka. "Suboptimalno multikriterijsko upravljanje megavatnim vjetroagregatom." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:627413

Santrić, Luka. "Suboptimalno multikriterijsko upravljanje megavatnim vjetroagregatom." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:627413

Santrić, L. (2014). 'Suboptimalno multikriterijsko upravljanje megavatnim vjetroagregatom', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 05 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:627413

Santrić L. Suboptimalno multikriterijsko upravljanje megavatnim vjetroagregatom [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2014 [cited 2024 May 05] Available at: https://urn.nsk.hr/urn:nbn:hr:168:627413

L. Santrić, "Suboptimalno multikriterijsko upravljanje megavatnim vjetroagregatom", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:627413

Metadata
TitleSuboptimalno multikriterijsko upravljanje megavatnim vjetroagregatom
Title (english)Suboptimal multi criteria control of a megawatt-scale wind turbine
AuthorLuka Santrić
MentorNedjeljko Perić (mentor)
Committee memberNedjeljko Perić (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 country2014-09-25, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Sustav upravljanja vjetroagregatom megavatne snage temelji se na optimalnom iskorištavanju dostupne energije vjetra te na redukciji strukturnih opterećenja komponenti vjetroagregata. S obzirom na nelinearnost matematičkog modela vjetroagregata te na spregu pojedinih podsustava, teško je postići optimizaciju multikriterijskog problema s ograničenjima koja bi se izvodila u stvarnom vremenu na postojećem ugradbenom računalnom sustavu vjetroagregata. Stoga je zadatak ovoga rada bio suboptimalan pristup koji se temelji na izvedenoj optimizaciji u cijelom radnom području vjetroagregata i njenoj aproksimaciji korištenjem neuronske mreže. Postavljen je matematički model vjetroagregata te su identificirana ograničenja sustava upravljanja. Ponašanje projektiranog suboptimalnog regulatora simulacijski je provjereno, kao i njegova izvedivost za upravljanje u realnom vremenu.
Abstract (english)
Wind turbine control system is based on the optimal use of available wind energy and the reduction of the structural loads of wind turbine components. Due to the nonlinearity of the mathematical model of wind turbine and the complexity of certain subsystems, it is difficult to achieve multi-criterion optimization solution with constraints in real time on the existing embedded systems. Thus the goal of this study was suboptimal approach based on the model predictive control in the entire working area of wind turbine and its approximation using neural networks. A mathematical model of wind turbine is identified with constraints. Suboptimal controller is verified with simulations along with its implementation feasibility in real-time.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:627413
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
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2018-02-06 11:41:36