Spelling suggestions: "subject:"unbemanntes flugzeug"" "subject:"unbemanntes flugzeuge""
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Nichtlineare adaptive Regelung eines unbemannten FluggerätesHolzapfel, Florian. January 2004 (has links) (PDF)
München, Techn. Univ., Diss., 2004. / Computerdatei im Fernzugriff.
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Nichtlineare adaptive Regelung eines unbemannten FluggerätesHolzapfel, Florian. January 2004 (has links) (PDF)
München, Techn. Universiẗat, Diss., 2004.
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Auslegung eines Autopilotensystems für autonome Mikroflugzeuge /Kordes, Thomas. January 2007 (has links) (PDF)
Techn. Univ., Diss.--Braunschweig, 2005.
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Investigation of transitional separation bubbles using three-dimensional measurement techniques /Burgmann, Sebastian. January 2009 (has links)
Zugl.: Aachen, Techn. Hochsch., Diss., 2009.
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Expert System-based Embedded Software Module and Ruleset for Adaptive Flight MissionsZant, Henrik 24 October 2022 (has links)
Unmanned Aerial Vehicles are more and more used in various fields. Many of the Flight Missions they execute are remote-controlled by human operators. Their application range could be greatly extended if unsupervised computer-controlled Flight Missions were possible.
To reach the goal of being able to run unsupervised Flight Missions, many hurdles are yet to be cleared. One of the difficult tasks is to provide a control mechanism that is capable of reacting to environmental changes, such as bad weather, unexpected obstacles or system failures.
To get closer to the goal of unsupervised Flight Missions, existing Expert System mechanisms along with other technologies that provide automated sensor data gathering and actor control are explored and the limitations that hold back progress are highlighted.
Limited Flight control approaches that use data from different sensors to safely adapt the drone’s behaviour and its mission execution are the main focus of the thesis.
Furthermore an Expert-System-based concept and implementation for decisionmaking during Adaptive Flight Missions are presented and evaluated for their remaining limitations.
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