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Flight guardian: a common avionics architecture for collision avoidance and safe emergency landing for unmanned aerial systems

Mejias, Luis & Greer, Duncan G. (2012) Flight guardian: a common avionics architecture for collision avoidance and safe emergency landing for unmanned aerial systems. In Proceeding of the 31st Digital Avionics Systems Conference, IEEE, Crowne Plaza Williamsburg, Williamsburg, VA. (In Press)

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Abstract

This paper presents an approach to derive requirements for an avionics architecture that provides onboard sense-and-avoid and autonomous emergency forced landing capabilities to a UAS. The approach is based on two design paradigms that

(1) derive requirements analyzing the common functionality between these two functions to then derive requirements for sensors, computing capability, interfaces, etc.

(2) consider the risk and safety mitigation associated with these functions to derive certification requirements for the system design. We propose to use the Aircraft Certification Matrix (ACM) approach to tailor the system Development Assurance Levels (DAL) and architecture requirements in accordance with acceptable risk criteria.

This architecture is developed under the name “Flight Guardian”. Flight Guardian is an avionics architecture that integrates common sensory elements that are essential components of any UAS that is required to be dependable. The Flight Guardian concept is also applicable to conventionally piloted aircraft, where it will serve to reduce cockpit workload.

Impact and interest:

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ID Code: 53518
Item Type: Conference Paper
Keywords: UAS Collision Avoidance, UAS Forced Landing, Avionics Architecture, UAS Dependability, UAS Certification
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Avionics (090105)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 [please consult the author]
Deposited On: 10 Sep 2012 10:26
Last Modified: 21 Mar 2013 07:04

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