Ongoing research at NASA is driven by a strategic plan defined by the Aeronautics Research Mission Directorate and a vision for future In-Time Aviation Safety Management Systems (IASMS) as described by the National Academies. In both visions, system safety awareness and provision are expanded through increased access to relevant data; integrated analysis and predictive capabilities; improved real-time detection and alerting of domain-specific hazards; decision support, and in some cases, automated risk mitigation strategies. One primary research focus is to develop means by which more timely (i.e., “in-time”) actions may be taken to mitigate precursors, anomalies, or trends that are observed during operations. In this paper, we describe such means as a collection of Services, Functions, and Capabilities (SFCs) that are supported by an underlying information system. For example, an integrated risk assessment capability is envisioned that continuously monitors safety-related metrics and margins and recommends timely operational changes. Assessment functions and/or services can be based on data analytics and predictive models derived from heterogeneous data sets that span relevant indicator metrics and their time histories. Likewise, on-board functions can identify and reduce susceptibility to precursor conditions that have led (and can lead) to aircraft loss-of-control or out-of-control accidents. This paper summarizes development and testing of such an information system tailored to hazards anticipated for future highly autonomous flight missions near and over densely populated areas. Testing is accomplished via simulation and by using small, unmanned aircraft operating over a test range at NASA’s Langley Research Center. Flight plans and test scenarios are defined to emulate several use-cases, including package delivery; reconnaissance; fire management; and urban air taxi vertiport operations. Two test phases are summarized with Phase 1 occurring in (2019-2020) and Phase 2 ongoing (2021-present). Results focus on SFC performance, technology readiness level assessment, and requirements discovery/validation. Companion papers are cited throughout for additional details on the recent testing.


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    Title :

    Flight Testing of In-Time Safety Assurance Technologies for UAS Operations


    Contributors:
    Steven D. Young (author) / Ersin Ancel (author) / Evan Dill (author) / Andrew Moore (author) / Cuong Quach (author) / Kyle Smalling (author) / Kyle Ellis (author)

    Conference:

    AIAA Aviation Forum 2022 ; 2022 ; Chicago, IL, US


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




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    S. Young / E. Ancel / E. Dill et al. | NTIS | 2022


    Flight Testing of In-Time Safety Assurance Technologies for UAS Operations

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    In- Time Safety Assurance Systems for Emerging Autonomous Flight Operations

    Young, Steven D. / Quach, Cuong Patrick / Goebel, Kai et al. | IEEE | 2018