• Autonomous Unmanned Aerial Vehicle In Search And Rescue 

      Hammerseth, Vegard B (Master thesis, 2013)
      This report presents a way of using autonomous drones to enhance search and rescue operations and takes the first steps in bringing the system to life. By using autonomous drones, less experience is required by the rescue ...
    • Autonomous unmanned aerial vehicles in search and rescue missions using real-time cooperative model predictive control 

      de Alcantara Andrade, Fabio Augusto; Hovenburg, Anthony Reinier; Netto de Lima, Luciano; Dahlin Rodin, Christopher; Johansen, Tor Arne; Storvold, Rune; Moraes Correia, Carlos Alberto; Barreto Haddad, Diego (Journal article; Peer reviewed, 2019)
      Unmanned Aerial Vehicles (UAVs) have recently been used in a wide variety of applications due to their versatility, reduced cost, rapid deployment, among other advantages. Search and Rescue (SAR) is one of the most prominent ...
    • Autonomous Unmanned Aerial Vehicles in Search and Rescue Missions Using Real-Time Cooperative Model Predictive Control 

      Andrade, Fabio; Hovenburg, Anthony Reinier; de Lima, L. N.; Rodin, Christopher D; Johansen, Tor Arne; Storvold, Rune; Correia, Carlos; Haddad, Diego (Journal article; Peer reviewed, 2019)
      Unmanned Aerial Vehicles (UAVs) have recently been used in a wide variety of applications due to their versatility, reduced cost, rapid deployment, among other advantages. Search and Rescue (SAR) is one of the most prominent ...
    • AUTONOMOUS VTOL DRONE: TECHNOLOGIES AND ANALYSES FOR CONDITION MONITORING OF EXTERNAL ROTOR BLDC MOTORS 

      Abrahamsen, Henrik Skarre (Master thesis, 2023)
      Formål: Denne avhandlingen undersøker tilstandsovervåking av ekstern-rotor børsteløse DC-motorer som brukes i autonome VTOL-droner. Målet var å bygge og teste en prototyp for tilstandsovervåking på Notus-plattformen som ...
    • Autonomous Wind Blade Inspection 

      Heggem, Hans Erik (Master thesis, 2017)
      This report addresses autonomous inspection of wind blades using a UAV by proposing to use computer vision combined with structured light to accurately segment and detect the wind blade edges. It will be proven that this ...
    • Autonomt Ubemannet fartøy i søk og redningsoperasjoner - En Synsmodul 

      Pedersen, Tom Meland (Master thesis, 2016)
      Hovedmålet med denne avhandlingen var å designe, prototype og teste en synsmodul som skulle være i stand til å oppdage mennesker fra luften mens den er festet til et Ubemannet Luftfartøy, slik at det kan hjelpe mennesker ...
    • Autopilot Design for Unmanned Aerial Vehicles 

      Johansen, Ingrid Hagen (Master thesis, 2012)
      This thesis will present a design of a guidance and control system to use on aircrafts, primarily on UAVs. One control method for heading control and two for pitch and altitude control will be investigated. The control ...
    • Autotuned Dynamic Positioning for Marine Surface Vessels 

      Alme, Jon (Master thesis, 2008)
      Dynamic positioning of surface vessels involves control of vessels with changing dynamics, shifting conditions, for different operational tasks. A controller with fixed controller parameters cannot have an optimal performance ...
    • AUV Pipeline Following using Reinforcement Learning 

      Fjerdingen, Sigurd Aksnes; Kyrkjebø, Erik; Transeth, Aksel Andreas (Chapter, 2010)
      This paper analyzes the application of several reinforcement learning techniques for continuous state and action spaces to pipeline following for an autonomous underwater vehicle (AUV). Continuous space SARSA is compared ...
    • Averaging Level Control of a Separator using Gain Scheduling 

      Halvorsrød, Sverre Oliver (Master thesis, 2007)
      In mature production wells slugging is, or can be, a major challenge when it comes totuning of the first separator control loops. The objectives of the tuning are to minimizethe variation of the outflow, whilst at the same ...
    • AWEbox: An Optimal Control Framework for Single- and Multi-Aircraft Airborne Wind Energy Systems 

      De Schutter, Jochem; Leuthold, Rachel; Bronnenmeyer, Thilo; Malz, Elena; Gros, Sebastien Nicolas; Diehl, Moritz (Peer reviewed; Journal article, 2023)
      In this paper, we present AWEbox, a Python toolbox for modeling and optimal control of multi-aircraft systems for airborne wind energy (AWE). AWEbox provides an implementation of optimization-friendly multi-aircraft AWE ...
    • Backlash estimation for industrial flexible drive-train systems 

      Papageorgiou, Dimitrios; Blanke, Mogens; Niemann, Hans Henrik; Richter, Jan H. (Journal article; Peer reviewed, 2017)
      Backlash in gearing and other transmission components is a common positioning-degrading phenomenon that develops over time in industrial machines. High-performance machine tool controls use backlash compensation algorithms ...
    • Balancing Solar Energy and Load Consumption given Different Load Consumption Profiles 

      Veie, Bjørnar (Master thesis, 2020)
      I de kommende årene vil presset på kraftnettet øke på grunn av den storstilte elektrifiseringen som skjer i samfunnet i dag. For å forhindre de potensielle problemene dette medfører for kraftnettet på en kostnadseffektiv ...
    • Ballongnyttelast for opplæringsformål 

      Wang, Torstein (Master thesis, 2008)
      Sammendrag
    • Banefølging for selvgående terrengkjøretøy med Model Predicitive Control 

      Dyrnes, Stian (Master thesis, 2018)
      Denne oppgaven omhandler banefølging for et selvgående terrengkjøretøy med Model Predicitve Control. Et litteratursøk ble gjennomført om metoder for banefølgere og Model Predicitve Control, og brukt som grunnlag for ...
    • Battery power smoothing control in a marine electric power plant using nonlinear model predictive control 

      Bø, Torstein Ingebrigtsen; Johansen, Tor Arne (Journal article; Peer reviewed, 2016)
      This brief presents a power variation smoothing method using batteries on a weak ship grid. For some marine vessels, power fluctuations on the ac grid are large. This results in the large variations in the electrical ...
    • A Bayesian Approach to Risk-Based Autonomy, with Applications to Contact-Based Drone Inspections 

      Rothmund, Sverre Velten; Thieme, Christoph Alexander; Utne, Ingrid Bouwer; Johansen, Tor Arne (Journal article; Peer reviewed, 2023)
      Enabling higher levels of autonomy while ensuring safety requires an increased ability to identify and handle internal faults and unforeseen changes in the environment. This article presents an approach to improve this ...
    • Bayesian Bridging Distribution Analysis for Model Based Intent and Long-term Prediction of Vessels 

      Fridriksson, Fridrik Hilmar Zimsen (Master thesis, 2021)
      For å sørge for at autonome overflatefartøyer er sikre for bruk blant den allerede eksisterende trafikk, da må den være utstyrt med et antikollisjonssystem. En viktig del av et slikt system er evnen til å kunne oppdage ...
    • Bayesian neural networks for virtual flow metering: An empirical study 

      Grimstad, Bjarne Andre; Hotvedt, Mathilde; Sandnes, Anders Thoresen; Kolbjørnsen, Odd; Imsland, Lars Struen (Peer reviewed; Journal article, 2021)
      Recent works have presented promising results from the application of machine learning (ML) to the modeling of flow rates in oil and gas wells. Encouraging results and advantageous properties of ML models, such as ...
    • Behavioural monitoring of salmon juveniles using stereo vision and machine learning 

      Nedreberg, Åshild (Master thesis, 2022)
      Bruken av landbaserte oppdrettsanlegg er økende i akvakulturnæringen. Foreløpig er det mangel på autonome løsninger for atferdsovervåkning av fisk i landbaserte anlegg. Dette er ettertraktet for å kunne avdekke dårlig ...