However, systems like these are not available for general aviation at smaller airports, which is a problem in case of poor visibility - then aircraft simply cannot fly. "Automatic landing is essential, especially in the context of the future role of aviation," says Martin Kügler, research associate at the TUM Chair of Flight System Dynamics. This applies for example when automated aircraft transport freight and of course when passengers use automated flying taxis.
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The autopilot uses GPS signals to navigate. The problem: GPS signals are susceptible to measurement inaccuracies, for example due to atmospheric disturbances. The GPS receiver in the aircraft can’t always reliably detect such interferences. As a result, current GPS approach procedures require the pilots to take over control at an altitude of no less than 60 meters and land the aircraft manually.
In order to make completely automated landings possible, the TU Braunschweig team designed an optical reference system: A camera in the normal visible range and an infrared camera that can also provide data under conditions with poor visibility. The researchers developed custom-tailored image processing software that lets the system determine where the aircraft is relative to the runway based on the camera data it receives.
The TUM team developed the entire automatic control system of TUM’s own research aircraft, a modified Diamond DA42. The aircraft is equipped with a Fly-by-Wire system enabling control by means of an advanced autopilot, also developed by the TUM researchers.
In order to make automatic landings possible, additional functions were integrated in the software, such as comparison of data from the cameras with GPS signals, calculation of a virtual glide path for the landing approach as well as flight control for various phases of the approach.
In late May the team was able to watch as the research aircraft made a completely automatic landing at the Diamond Aircraft airfield. Test pilot Thomas Wimmer is completely convinced by the landing system: "The cameras already recognize the runway at a great distance from the airport. The system then guides the aircraft through the landing approach on a completely automatic basis and lands it precisely on the runway’s centerline."
- S. Wolkow, M. Angermann, A. Dekiert, and Ulf Bestmann, "Model-based Threshold and Centerline Detection for Aircraft Positioning during Landing Approach", in Proceedings of the ION 2019 Pacific PNT Meeting, 8-11 April 2019.
https://doi.org/10.33012/2019.16787 - M. Angermann, S. Wolkow, A. Dekiert, U. Bestmann, and P. Hecker, "Linear Blend: Data Fusion in the Image Domain for Image-based Aircraft Positioning during Landing Approach", in Proceedings of the ION 2019 Pacific PNT Meeting, 8-11 April 2019. https://doi.org/10.33012/2019.16836
- M. E. Kügler, N. C. Mumm, F. Holzapfel, A. Schwithal, and M. Angermann, "Vision-Augmented Automatic Landing of a General Aviation Fly-by-Wire Demonstrator", in AIAA SciTech Forum, 7-11 January 2019.
https://doi.org/10.2514/6.2019-1641
