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R.M. Leitner, L. Ollagnier
Unmanned aerial vehicles are becoming increasingly important in modern battlefield. In general, unmanned rotorcrafts are used for local reconnaissance. Among other things, these can be launched and landed vertically from a stationary ground vehicle and can reconnoiter the surrounding area at a certain altitude above the ground vehicle. Because of the many disadvantages in a military context, a wireless solution is preferable to a wired solution. A wireless solution gives the ground vehicle significant flexibility and enables take-offs and landings of the unmanned aircraft were possible while the ground vehicle is moving. To examine under which conditions - e.g., environmental conditions, etc. - the guidance navigation and control (GN&C) algorithms for automatic take-off and landing perform satisfactorily, a real-time test environment has been developed based on numerical simulation of the aircraft-ground vehicle, sensor technology and sensor data fusion for relative state estimation. The test environment realistically reproduces the take-off and landing processes of the rotorcraft UAV while the ground vehicle is in motion. The developed algorithms for UAV GN&C can be used in a real flying demonstrator at a later stage. The paper details the development and setup of the test environment and its components.
Deutscher Luft- und Raumfahrtkongress 2023, Stuttgart
Verlag, Ort:
Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V., Bonn, 2024
Conference Paper
21,0 x 29,7 cm, 7 Seiten
Stichworte zum Inhalt:
Automatic Take-off and Landing, ATOL, Helicopter, Computer Vision, Sensor Fusion, Real-Time Simulation
Download - Bitte beachten Sie die Nutzungsbedingungen dieses Dokuments: CC BY 4.0OPEN ACCESS
Leitner, R.M.; Ollagnier, L. (2024): Simulation Tool for evaluating GN&C Algorithms using the Example of automatic Landing of an unmanned Helicopter on a moving Platform. Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V.. (Text). https://doi.org/10.25967/610274. urn:nbn:de:101:1-2405081412534.356067572741.
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