Development of an Automatic Ground Collision Avoidance System for a General Aviation Aircraft

Tim Neidhardt, Pranav Nagarajan, Lukas Beller, Xiyao Chen, Florian Holzapfel

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

This contribution presents the design of an Auto-GCAS algorithm for fixed-wing General Aviation aircraft. The design is implemented for a Diamond Aircraft DA-42NG Twin Star twin-engine piston aircraft along with its integration in a simulation environment. The algorithm has been adapted to account for the technical and operational differences between classes of aircraft. The overall functional architecture comprising trajectory prediction, scan area definition, terrain database query, activation/deactivation logic, and an inner loop autopilot is shared with previous designs. The avoidance maneuvers are re-designed to ensure maximum climb performance by trading airspeed for altitude. The freely available ASTER Global Digital Elevation Model is used as the terrain database. The integration in a Flight Training Device allows for both automated and manual piloted testing and verification of the algorithm.

OriginalspracheEnglisch
Titel40th Digital Avionics Systems Conference, DASC 2021 - Proceedings
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781665434201
DOIs
PublikationsstatusVeröffentlicht - 2021
Veranstaltung40th IEEE/AIAA Digital Avionics Systems Conference, DASC 2021 - San Antonio, USA/Vereinigte Staaten
Dauer: 3 Okt. 20217 Okt. 2021

Publikationsreihe

NameAIAA/IEEE Digital Avionics Systems Conference - Proceedings
Band2021-October
ISSN (Print)2155-7195
ISSN (elektronisch)2155-7209

Konferenz

Konferenz40th IEEE/AIAA Digital Avionics Systems Conference, DASC 2021
Land/GebietUSA/Vereinigte Staaten
OrtSan Antonio
Zeitraum3/10/217/10/21

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