GNSS avionics-based integrity augmentation for RPAS detect-and-avoid applications

Sabatini, Roberto; Moore, Terry; Hill, Chris

Abstract

Taking the move from our recent research on GNSS Avionics Based Integrity Augmentation (ABIA), this article investigates the synergies of ABIA with a novel Detect-and-Avoid (DAA) architecture for Remotely Piloted Aircraft System (RPAS). Based on simulation and experimental data collected on a variety of manned and unmanned aircraft, it was observed that the integration of ABIA with DAA has the potential to provide an integrity-augmented DAA for both cooperative and non-cooperative applications. The candidate DAA system uses various Forward-Looking Sensors (FLS) for the non-cooperative case and Automatic Dependent Surveillance-Broadcast (ADS-B) in addition to TCAS/ASAS for the cooperative case. Both in the cooperative and non-cooperative cases, the risk of collision is evaluated by setting a threshold on the Probability Density Function (PDF) of a Near Mid-Air Collision (NMAC) event over the separation area. So, if the specified threshold is exceeded, an avoidance manoeuvre is performed based on a heading-based Differential Geometry (DG) algorithm and optimized utilizing a cost function with minimum time constraints and fuel penalty criteria weighted as a function of separation distance. Additionally, the optimised avoidance trajectory considers the constraints imposed by the ABIA in terms of RPAS platform dynamics and GNSS constellation satellite elevation angles, preventing degradation or losses of navigation data during the whole DAA loop. This integration scheme allows real-time trajectory corrections to re-establish the Required Navigation Performance (RNP) when actual GNSS accuracy degradations and/or data losses take place (e.g., due to aircraft-satellite relative geometry, GNSS receiver tracking, interference, jamming or other external factors). Cooperative and non-cooperative simulation case studies were accomplished to evaluate the performance of this Integrity-Augmented DAA (IAS) architecture. The selected host platform was the AEROSONDE RPAS and the simulation cases were performed in a representative cross-section of the RPAS operational flight envelope. The simulation results show that the proposed IAS architecture is capable of performing high-integrity conflict detection and resolution when GNSS is the primary source of navigation data.

Citation

Sabatini, R., Moore, T., & Hill, C. GNSS avionics-based integrity augmentation for RPAS detect-and-avoid applications. Presented at Fourth Australasian Unmanned Systems Conference, 2014 (ACUS 2014)

• Conference Name: Fourth Australasian Unmanned Systems Conference, 2014 (ACUS 2014)
• End Date: Dec 12, 2014
• Acceptance Date: Dec 10, 2014
• Publication Date: Dec 12, 2014
• Deposit Date: Jul 27, 2016
• Publicly Available Date: Jul 27, 2016
• Peer Reviewed: Peer Reviewed
• Keywords: Global navigation satellite system, avionics-based integrity augmentation, detect-and-avoid
• Public URL: https://nottingham-repository.worktribe.com/output/741007
• Contract Date: Jul 27, 2016