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At least 217 records · Page 12
All sourcesNASA NTRSDOE OSTI
NASA NTRSDate not supplied

A Grounded Theory of UAS Reported Accidents

Context: The manufacture and operation of sUAS are not as regulated as today’s commercial operation, and their widespread use introduces new risks and hazards to the general public. Aim: Our intent is to understand the various processes that prevent or portend sUAS incidents or accidents and the influence that pilots’ expectations and training have on these processes. Method: We use classic grounded theory on sUAS reported accidents (and incidents). Results: We identified three categories, Control Interference, Reviewing and Reporting, which describe various processes surrounding UAS accidents based on the dataset analyzed. Conclusion: The use of grounded theory can offer a different perspective in the analysis of UAS accidents. In addition, the traceability between data sources and the method results facilitate result validation, and navigation. While the results are preliminary, the concepts can be expanded through the use of other accident datasets or used as basis for UAS accident surveys.

Carlos Paradis↗
NASA NTRS2015

Measured Response for UAS Integration into the National Airspace System

The measured response (MR) is the response time of aircraft to Air Traffic Controller (ATCo) commands and clearances. The overall MR can be broken up into several components, including the pilot verbal latencies (MR1), the time between the end of an ATCo clearance and the beginning of the pilots read back, and the execution initiation latency (MR2), the time between the end of the ATCos clearance and when the pilot begins to execute a maneuver. The MR is a crucial concern for the integration of Unmanned Aircraft Systems (UAS) into the National Airspace System (NAS) due to potentially greater latencies stemming from remote pilot communication and command execution. As a result, it is important to quantify what latencies in verbal responding and command execution are acceptable for safe and efficient operations in the NAS. The present studies begin to address these issues in a series of four simulations supported by the UAS Integration into the NAS program.

UAS in the NAS↗
NASA NTRS2014

UAS NAS IHITL Test Readiness Review (TRR)

Requesting release of IHITL test readiness review (TRR) charts to ensure UAS-NAS project primary stakeholders, the Federal Aviation Administration through the RTCA special committee -228 and the Office of the Secretary of Defense Sense and Avoid Science and Research Panel, are well informed on the IHITL test plan and expected outcomes as they relate to their needs to safely fly UAS in the NAS.

Unmanned↗
NASA NTRS2015

Unmanned Aerial Systems (UAS): Evolving Trends

Near-term Goal: Enable initial low-altitude airspace and UAS operations with demonstrated safety as early as possible, within 5 years; Long-term Goal: Accommodate increased UAS operations with highest safety, efficiency, and capacity as much autonomously as possible (10-15 years).

UAS↗
NASA NTRS2015

Mission Adaptive UAS Platform for Earth Science Resource Assessment

NASA Ames Research Center has led a number of important Earth science remote sensing missions including several directed at the assessment of natural resources. A key asset for accessing high risk airspace has been the 180 kg class SIERRA UAS platform, providing mission durations of up to 8 hrs at altitudes up to 3 km. Recent improvements to this mission capability are embodied in the incipient SIERRA-B variant. Two resource mapping problems having unusual mission characteristics requiring a mission adaptive capability are explored here. One example involves the requirement for careful control over solar angle geometry for passive reflectance measurements. This challenges the management of resources in the coastal ocean where solar angle combines with sea state to produce surface glint that can obscure the ocean color signal. Furthermore, as for all scanning imager applications, the primary flight control priority to fly the UAS directly to the next waypoint should compromise with the requirement to minimize roll and crab effects in the imagery. A second example involves the mapping of natural resources in the Earth's crust using precision magnetometry. In this case the vehicle flight path must be oriented to optimize magnetic flux gradients over a spatial domain having continually emerging features, while optimizing the efficiency of the spatial mapping task. These requirements were highlighted in several recent Earth Science missions including the October 2013 OCEANIA mission directed at improving the capability for hyperspectral reflectance measurements in the coastal ocean, and the Surprise Valley Mission directed at mapping sub-surface mineral composition and faults, using high-sensitivity magentometry. This paper reports the development of specific aircraft control approaches to incorporate the unusual and demanding requirements to manage solar angle, aircraft attitude and flight path orientation, and efficient (directly geo-rectified) surface and sub-surface mapping, including the near-time optimization of these sometimes conflicting requirements. *

Flight Control↗
NASA NTRS2016

Measurement and Modelling of Multicopter UAS Rotor Blades in Hover

Multicopters are becoming one of the more common and popular type of unmanned aircraft systems (UAS) which have both civilian and military applications. One example being the concept of drone deliveries proposed by the distribution company Amazon [1]. The electrical propulsion is considered to have both faster and easier deliveries and also environmental benefits compared to other vehicles that still use fossil fuel. Other examples include surveillance and just simple entertainment. The reason behind their success is often said to be due to their small size, relatively low cost, simple structure and finally simple usage. With an increase in the UAS market comes challenges in terms of security, as both people and other aircrafts could be harmed if not used correctly. Therefore further studies and regulations are needed to ensure that future use of drones, especially in the civilian and public sectors, are safe and efficient. Thorough research has been done on full scale, man or cargo transporting, helicopters so that most parts of flight and performance are fairly well understood. Yet not much of it have been verified for small multicopters. Until today many studies and research projects have been done on the control systems, navigation and aerodynamics of multicopters. Many of the methods used today for building multicopters involve a process of trial an error of what will work well together, and once that is accomplished some structural analysis of the multicopter bodies might be done to verify that the product will be strong enough and have a decent aerodynamic performance. However, not much has been done on the research of the rotor blades, especially in terms of structural stress analyses and ways to ensure that the commonly used parts are indeed safe and follow safety measures. Some producers claim that their propellers indeed have been tested, but again that usually tends towards simple fluid dynamic analyses and even simpler stress analyses. There is no real deflection measurement of said blades and all theory is today based on the theory developed for full scale helicopters. This report thus intends to highlight the problems that come with blade deflection theory and measurements for multicopters. This thesis starts with the introduction and problem formulation where the grounds for what the report contains are laid out. Then a literature review of the research within the area follows where previous and current research and methods are presented. In the background information and theory relevant to the area are presented. After that the methods and set up of the different experimental and computer simulation approaches are depicted. In the results section the obtained results are presented and compared. Lastly there is a discussion where the results and methods are evaluated and analyzed, followed by the most important conclusions.

Multicopter UAS Rotor Blades↗
NASA NTRS2018

Radar Surveillance Volume for Phase 1 UAS's Alerting Timeline

This presentation briefs simulation results for the Phase 1 UAS encounters. Results are broken into four UAS speed ranges and metrics computed include the cumulative distribution curves for range, bearing, and elevation at the first corrective alerts.

unmanned↗
NASA NTRS2020

UAS Traffic Management Conflict Management Model

Version 2 of the UAS Traffic Management (UTM) Conflict Management Model. This document is a concept overview paper that describes the conflict mitigation methodology that supports the use cases described in TCL 4 operating environments (urban BVLOS operations). The general conflict mitigation model values the use of redundant mitigation technologies that operate over different time horizons to reach a target level of safety for the operation. Separation provision contributes to the safety of the overall separation, and each participant (USS, UAS, other airspace users) is responsible for ensuring separation is maintained between aircraft. The intent of this document is to capture the minimum level of separation provisions that are necessary for safe operations in the airspace. Additional equipage and capability can be seen as a mechanism to enhance safety but may not be the minimum need for entry into the airspace.

UTM↗
NASA NTRSDate not supplied

Flight Demonstration of Unmanned Aircraft System (UAS) Traffic Management (UTM) at Technical Capability Level 4

The NASA Unmanned Aircraft Systems (UAS) Traffic Management (UTM) Project executed the fourth and final UTM Technical Capability Level demonstration between May and August 2019. Two Federal Aviation Administration (FAA)-designated UAS test sites managed the range, partners, and operations to meet the requirements set forth by the UTM Project. All stakeholders supported the execution of the flight testing through close collaboration. Results of the demonstration indicate the viability of the UTM concept to manage large scale operations and contingencies in an urban environment. The demonstration also provided insight into key technological gaps that must be addressed before such operations are routine, safe, and efficient. Standardization efforts related to UTM and the industry participants of those efforts can leverage the results and experiences of this flight activity to accelerate and more firmly ground forthcoming standards. The FAA and other regulators will be able to leverage results to inform future rule-making and identify additional gaps that require further analysis.

Unmanned Aircraft System Traffic Management↗
NASA NTRS2022

AiRanger™ UAS NASA SIO Program Final Report

National Aeronautics and Space Administration (NASA) awarded a Cooperative Agreement to American Aerospace, and two other companies, under the Unmanned Aircraft Systems Integration and Operationalization (SIO) demonstration with the goal of accelerating routine unmanned aircraft systems (UAS) operations in the national airspace (NAS). The team lead by American Aerospace Technologies Inc (AATI) demonstrated its UAS AiRanger™ successfully on February 25 as part of NASA’s SIO program.

Flight Demonstration↗
NASA NTRSDate not supplied

Evolving the Design of a Volcanic Monitoring UAS over Several Flight Campaigns

A multi-organization effort has been underway for several years to develop and validate the use of small unmanned aircraft systems (UAS) for volcanic monitoring. The overall goal is to develop the aircraft, supporting systems, concept of operations, scientific payloads and regulatory framework to allow regular and reliable sampling in challenging and dynamic atmospheric conditions around volcanic summits. Central to this effort has been the development and refinement of the “S2” aircraft, which contains a tightly integrated system consisting of the airframe, avionics, and payload sensors specifically designed to measure atmospheric properties around volcanic plumes. The aircraft has a 3-meter wingspan and can carry a 2.3 kg payload for up to 100 km while operating at altitudes up to 6,000 m. To date, the system has been flown in Costa Rica to sample CO2 gases around Turrialba Volcano (Costa Rica), in Hawaii to assess the 2018 eruption of Kīlauea with several different sensors, and is currently planned for deployment in Alaska for gas sampling and photogrammetry at Makushin Volcano. Before and after each deployment, all aspects of the system and concept of operations (CONOPS) were extensively examined and modified to improve the safety and performance. This has culminated in the upcoming deployment which will fly up to 30 km - beyond visual line of sight for the first time. This expansion of the operational range through additional safety features and redundancy will pave the way for monitoring and accessing areas that were previously very difficult to reach from both a technical and regulatory perspective. These developments can be extended to a variety of missions requiring UAS for atmospheric sampling, specifically ones that would benefit from beyond visual line of sight operations or flights into harsh or difficult atmospheric environments.

UAS↗
NASA NTRSDate not supplied

Identifying Human Factors Research for Unmanned Aircraft Systems (UAS) and Advanced Air Mobility (AAM)

This paper identifies some of the key human factors (HF) challenges when integrating Unmanned Aircraft Systems (UAS) and Advanced Air Mobility (AAM) into the civil airspace. Unique HF considerations—those which are derived from the key differentiating aspects of UAS/AAM compared to conventional aviation—are the primary basis for identifying HF research opportunities. By identifying what makes UAS and AAM fundamentally different from conventional aviation, from a human integration perspective, HF research can be targeted to effectively inform best practices, standards, policy, guidance, and regulations associated with aircraft and air traffic systems and operations. HF research areas are discussed within the following topic areas: Sustained low-altitude operations; loss of natural sensing; novel aircraft; novel operations; link management and lost link; link performance; distributed pilot teams; and increased automation. The identified research descriptions are intended to serve as illustrative examples of what research is fundamental, and why. They are not intended to prescribe, prioritize or exclude research.

AAM↗
NASA NTRSDate not supplied

Gap Analysis of UAS Manuals and Hazards

Emerging aviation includes the use of small Unmanned Aerial Systems (UAS) in novel operations. The manufacture and operation of these small UAS are not as regulated as today’s commercial operation, and their widespread use introduces new risks and hazards to the general public. Today, there are case-by-case approvals for sUAS operations, particularly for emergency response operations in which the potential benefits to use of sUAS is perceived to outweigh potential risks. We analyze operational approvals, procedures, and concepts of operation to identify and categorize the risks and hazards that applicants and approvers are already considering, and also identify barriers and mitigations that the operators have already put in place. This analysis may help lead to routine checklists that standardize safety analysis and lead to more routine operations.

grounded theory↗
NASA NTRS1978

Some results of the UA-ARE Program

During the period of May 6-16, 1977, the University of Arizona Aerosol Research Group conducted a cooperative Aerosol and Radiation Experiment (UA-ARE Program) in Tucson, Ariz. The principal objective of the program was to compare how well theoretically computed fluxes at selected visible wavelengths agreed with measured fluxes for the case where the theoretical flux calculations were based on inferred atmospheric aerosol parameters derived exclusively from simultaneous optical remote sensing measurements. A second objective of the experiment was to intercompare the results obtained by different remote sensing techniques. The various measurement techniques employed in the UA-ARE Program are listed along with brief summaries of the information to be derived from the data obtained with each technique.

Reagan, J. A.↗