Development and Flight Testing of an Automated Upset Recovery System, Phase I

Metadata Updated: November 12, 2020

Loss of control (LOC) due to upset is one of the main causes of accidents in manned aircraft and is already emerging as a significant causal factor in unmanned aircraft accidents. On manned aircraft, recovery from an upset condition relies on the skill and training of an expert pilot. Due to reduced situational awareness and delays introduced by the command and control link, it is unlikely that a remote UAS operator will be able to serve this function. An advanced system capable of perception, cognition, and decision making is necessary to replace the need for an operator with upset recovery expertise and to mitigate the LOC risk on UAS. Barron Associates has recently developed a two-stage architecture that generates safe and effective recovery maneuvers for a large set of upset conditions including full stall and fully-developed spin modes. The proposed research will design an upset detection system and integrate the system with the existing two-stage recovery architecture to yield a comprehensive autonomous upset recovery system. The decision about when to activate each stage of a recovery is difficult to make at design-time due to insufficient aerodynamic data and the inability to model all of the off-nominal precipitating factors that cause upsets. The proposed upset detection system does not rely on design-time characterization; instead, a rigorous statistical testing framework combines numerous pieces of information including vehicle attitude, rotational rate, and controller performance to answer the question: Has an upset occurred? Key Phase I goals include: upset detection algorithm development, integration of upset detection with existing recovery architecture, evaluation of system performance in simulation, and real-time hardware-in-the-loop demonstration using a commercially available autopilot.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher Space Technology Mission Directorate
Unique Identifier Unknown
Maintainer
Identifier TECHPORT_33597
Data First Published 2015-12-01
Data Last Modified 2020-01-29
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Homepage URL https://techport.nasa.gov/view/33597
Program Code 026:027
Source Datajson Identifier True
Source Hash 029f0bac5ea8cf91cfb5f8f5c2c9964fce2843c4
Source Schema Version 1.1

Didn't find what you're looking for? Suggest a dataset here.