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master's thesis
Modelsko prediktivno upravljanje bespilotnim zrakoplovom s fiksnim krilima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:026956
Spudić, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing

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Spudić, J. (2024). Modelsko prediktivno upravljanje bespilotnim zrakoplovom s fiksnim krilima (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:026956

Spudić, Josip. "Modelsko prediktivno upravljanje bespilotnim zrakoplovom s fiksnim krilima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:026956

Spudić, Josip. "Modelsko prediktivno upravljanje bespilotnim zrakoplovom s fiksnim krilima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:026956

Spudić, J. (2024). 'Modelsko prediktivno upravljanje bespilotnim zrakoplovom s fiksnim krilima', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 22 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:026956

Spudić J. Modelsko prediktivno upravljanje bespilotnim zrakoplovom s fiksnim krilima [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 November 22] Available at: https://urn.nsk.hr/urn:nbn:hr:168:026956

J. Spudić, "Modelsko prediktivno upravljanje bespilotnim zrakoplovom s fiksnim krilima", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:026956

Metadata
TitleModelsko prediktivno upravljanje bespilotnim zrakoplovom s fiksnim krilima
Title (english)Model predictive control of unmanned fixed-wing aircraft
AuthorJosip Spudić
MentorStjepan Bogdan (mentor)
Committee memberStjepan Bogdan (član povjerenstva)
Committee memberTamara Petrović (član povjerenstva)
Committee memberGoran Vasiljević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-09-18, Croatia
Abstract
Autonomna bespilotna zračna vozila (UAV) postaju sve važnija u različitim industrijama, uključujući geodetske izmjere, transport poštanskih paketa i dostavu hrane. Među raznim vrstama UAV-a, multirotori su popularni zbog svoje manevriranosti i sposobnosti vertikalnog polijetanja i slijetanja, no ograničeni su dometom i nosivošću. Za primjene koje zahtijevaju široko pokrivanje, poput poljoprivrednog nadzora i inspekcija infrastrukture, prikladniji su UAV-i s nepomičnim krilima. Međutim, UAV-i s nepomičnim krilima suočavaju se s izazovima u nepovoljnim vremenskim uvjetima, što zahtijeva napredne algoritme upravljanja za optimizaciju performansi. Ovaj rad se fokusira na primjenu Model Prediktivnog Upravljanja (MPC) za lateralno upravljanje, upravljanje elevonima za podešavanje kuta valjanja i kursa zrakoplova, dok se koristi Total Energy Control System (TECS) za longitudinalno upravljanje, reguliranje gasa i kuta nagiba. Integracija ovih naprednih strategija upravljanja ima za cilj poboljšati učinkovitost i pouzdanost operacija UAV-a s nepomičnim krilima.
Abstract (english)
Autonomous unmanned aerial vehicles (UAVs) are becoming increasingly prominent across diverse industries, including surveying, postal package transport, and food delivery. Among various UAV types, multirotors are favored for their maneuverability and vertical takeoff and landing capabilities but are limited by range and payload capacity. For applications requiring extensive coverage, such as agricultural monitoring and infrastructure inspections, fixed-wing UAVs are more suitable. However, fixed-wing UAVs face challenges in adverse weather conditions, necessitating advanced control algorithms for performance optimization. This thesis focuses on the application of Model Predictive Control (MPC) for lateral control, managing elevons to adjust the roll angle and heading of the aircraft, while utilizing Total Energy Control System (TECS) for longitudinal control, regulating throttle and pitch angle. The integration of these advanced control strategies aims to enhance the efficiency and reliability of fixed-wing UAV operations.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:026956
Study programmeTitle: Information and Communication Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2024-10-12 22:09:04