MITRE 基于风险的小型无人机系统建模方法2018年(23页)

ID:22750

大小:2.33 MB

页数:23页

时间:2022-11-28

金币:15

上传者:战必胜
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Modeling Risk-Based Approach for Small Unmanned
Aircraft Systems
Jeff Breunig
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, Joyce Forman
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, Shereef Sayed
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, Laurence Audenaerd
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, Art Branch
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, and Michael Hadjimichael
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The MITRE Corporation, McLean, VA 22102, USA
With the rapid acceleration of small Unmanned Aircraft System (sUAS) technologies
and the ever-growing demand for operating sUAS in the National Airspace System
(NAS), the Federal Aviation Administration (FAA) is seeking quantitative risk
assessment methods to enable sUAS to safely access airspace and avoid highly
restrictive operational or technical waivers. The purpose of this research is to provide
a quantitative risk assessment model that the FAA can use to streamline the waiver
approval process, to support regulatory development, and facilitate safety risk analysis.
An accurate risk assessment model, one that accounts for different types of sUAS
vehicles and operational missions, will enable the FAA to approve operations faster and
with fewer constraints. MITRE has developed the sUAS Airworthiness Assessment Tool
(sAAT), which quantifies the risk of fatality to third-party people on the ground from
sUAS operations by combining characteristics of the intended vehicle type with the
planned operations. The sAAT risk assessment model builds on past efforts to quantify
both the operational parameters and safety criteria for sUAS. The sAAT model has a
modular architecture that can incorporate updated or new algorithms and constants as
new knowledge of sUAS operations and advances in sUAS technologies become
available.
Approved for Public Release; Distribution Unlimited. Case Number 18-1364
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Principal Domain Specialist, Navigation and Unmanned Aircraft Systems Department
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Principal Multi-Discipline Systems Engineer, Navigation and Unmanned Aircraft Systems Department
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Senior Systems Engineer, Navigation and Unmanned Aircraft Systems Department
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Lead Multi-Discipline Systems Engineer, Arrival/Departure/Surface ConOps and Research Department
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Systems Engineer, Navigation and Unmanned Aircraft Systems Department
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Lead Computer Scientist, Cognitive Science & Artificial Intelligence Technical Center
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