A case study for assured containment

Hayhurst, Kelly J.; Maddalon, Jeffrey M.; Neogi, Natasha A.; Verstynen, Harry A.

doi:10.1109/icuas.2015.7152299

Cited by 21 publications

(16 citation statements)

References 19 publications

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“…Many of the small UAS flight controls systems, such as Arduino [142], include a geofence capability inherent in its system that can be utilized for safe operations. Hayhurst et al [143] propose that standards be developed for assured containment that provides an independent capability separate from the geofence algorithms that are generally resident internal to system software.…”

Section: Boundary Controlmentioning

confidence: 99%

Multiple-Scenario Unmanned Aerial System Control: A Systems Engineering Approach and Review of Existing Control Methods

2016

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Abstract:The use of unmanned aerial systems (UASs) in both the public and military environments is predicted to grow significantly. As the demand for UASs grows, the availability of more robust and capable vehicles that can perform multiple mission types will be needed. In the public sector, the demand will grow for UASs to be used for agriculture, forestry, and search and rescue missions. Militaries continue to demand more UAS capabilities for diverse operations around the world. Significant research has been performed and continues to progress in the areas of autonomous UAS control. A majority of the work focuses on subsets of UAS control: path planning, autonomy, small UAS controls, and sensors. Minimal work exists on a system-level problem of multiple-scenario UAS control for integrated systems. This paper provides a high-level modular system architecture definition that is modifiable across platform types and mission requirements. A review of the current research and employment of UAS capabilities is provided to evaluate the state of the capabilities required to enable the proposed architecture.

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Section: Boundary Controlmentioning

confidence: 99%

Multiple-Scenario Unmanned Aerial System Control: A Systems Engineering Approach and Review of Existing Control Methods

2016

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“…Other options that are being developed to ensure safe UAS operation include detect and avoid, assured containment, and redundant systems. 7,8 Some proposals for small UAS integration segregate the airspace below the National Airspace System (NAS) based on lateral boundaries, such as neighborhood and park boundaries. 9 Other proposals, including the Amazon Prime Air proposal, recommend dividing the airspace based on speed of UAS travel and the communication capabilities of each aircraft which assumes even the lowest altitude airspace is free to occupy regardless of property owner preferences.…”

Section: Geofencing Backgroundmentioning

confidence: 99%

Multi-Mode Guidance for an Independent Multicopter Geofencing System

Stevens

Atkins

2016

16th AIAA Aviation Technology, Integration, and Operations Conference

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As small unmanned aircraft systems (UAS) become more popular and the low altitude airspace becomes increasingly crowded, small UAS operations become increasingly complicated. One solution to organize airspace is with electronic geofencing systems. Current autopilots are capable of geofencing, but these geofences are implemented within the single-string autopilot that relies on the same hardware and software for all aspects of flight guidance, navigation, and control. This paper examines a geofence system with independence from the autopilot system. Specifically, different guidance modes defined to assure the UAS is safely kept within a designated test range. In simulation, the independent geofence system is shown to exhibit capabilities offered from geofence systems that are integrated into the autopilot plus an additional shared control guidance mode while supporting redundancy and resilience to nominal autopilot component failure.

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“…It is suggested that the safety risk model may also be used to strategically assess alternative "assured containment" concepts as posited by Hayhurst et al (2015b). An assured containment system as described by Hayhurst et al (2015b) is a "localization system, independent of the unmanned UA autopilot system, which acts to keep the UA within given bounds" (p. 261).…”

Section: Directed Causal Link (Ie With Underlying Conditional Probmentioning

confidence: 99%

“…An assured containment system as described by Hayhurst et al (2015b) is a "localization system, independent of the unmanned UA autopilot system, which acts to keep the UA within given bounds" (p. 261). An assured containment system involves more than just hardware and consists of the "hardware, software and operational procedures as well as the evidentiary material (e.g., safety analysis, reliability data, proofs, etc.)…”

Section: Directed Causal Link (Ie With Underlying Conditional Probmentioning

confidence: 99%

“…Thus, the proposed system safety modeling approach of the ASRM with its inherent hazard clustering from the HCAS taxonomy is consistent with notion of "hazard partitioning" (Hayhurst et al, 2015b, p. 261) and could be used to support the assessment of an assured containment system. As Hayhurst et al (2015b) state "In the assured containment concept, flight is confined exclusively within a predefined volume of airspace such that hazards outside of that volume (e.g., related to harming persons or property on the ground and interfering with air traffic) have been partitioned from other hazards inside of the volume" (p. 261). It is suggested that the safety risk model may also be used to strategically assess alternative "assured containment" concepts as posited by Hayhurst et al (2015b).…”

Section: Directed Causal Link (Ie With Underlying Conditional Probmentioning

confidence: 99%

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