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Intelligent Control & Autonomy Branch Research Overview ResearchThe purpose of the subject presentation is to expose engineering students at Ohio University to ongoing work being performed by the Intelligent Control and Autonomy Branch (ICAB) at the NASA Glenn Research Center in Cleveland, Ohio. The presentation will start with some introductory material about the organization. This will be followed by an overview of Electrified Aircraft Propulsion (EAP) controls research and the ICAB’s support for the Space Launch System (SLS). One aspect of EAP is the integration of electrical motor/generators and other power systems components with turbine engine technology to create propulsion & power systems for single-aisle aircraft that are more fuel efficient and have lower emissions. The presentation will introduce some of the controls, systems health management, and modeling technologies developed by the ICAB to help realize EAP. NASA’s SLS is a super-heavy-lift launch vehicle that provides the foundation for human exploration beyond Earth’s orbit. The presentation will introduce capabilities developed by the ICAB to support the SLS Mission and Fault Management function which includes capabilities for abort, caution and warning, redundancy management, and safing. The presentation will conclude with information about internships with the NASA and the ICAB.
Document ID
20210011599
Acquisition Source
Glenn Research Center
Document Type
Presentation
Authors
Kevin J. Melcher
(Glenn Research Center Cleveland, Ohio, United States)
Date Acquired
March 19, 2021
Subject Category
Aeronautics (General)
Spacecraft Propulsion And Power
Meeting Information
Meeting: Seminar for Graduate Engineering Students
Location: Virtual
Country: US
Start Date: March 26, 2021
Sponsors: University of Cincinnati
Funding Number(s)
WBS: 081876.02.03.10.01.01.04
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
NASA Technical Management
Keywords
propulsion
electrified aircraft propulsion
propulsion conrol
data qualification
functional fault models
systems health management
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