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Hybrid Flush and Synthetic Air Data Filter for Entry Vehicle Atmospheric State EstimationA hybrid flush/synthetic air data sensing filter for entry vehicle atmosphere estimation is developed. The approach makes use of a Kalman-Schmidt and Rauch-Tung-Streibel smoother. The filter/smoother blends information from pressure sensors distributed on the heatshield with pseudo-measurements of the vehicle aerodynamic forces and moments computed from mass properties and inertial measurement unit data, and prior estimates of the atmosphere. The filter produces estimates of the atmospheric conditions along the entry trajectory, and systematic error estimates to reconcile differences between the pressure and aerodynamic data sources. The filter is applied to data acquired during the Mars 2020 entry, descent, and landing at Jezero crater on February 18th, 2021. The final paper will also include results from the Mars Science Laboratory entry, descent, and landing.
Document ID
20230018126
Acquisition Source
Langley Research Center
Document Type
Presentation
Authors
Chris D. Karlgaard
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Date Acquired
December 12, 2023
Subject Category
Earth Resources and Remote Sensing
Aerodynamics
Meeting Information
Meeting: AIAA Sci Tech Forum
Location: Orlando, FL
Country: US
Start Date: January 8, 2024
End Date: January 12, 2024
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
CONTRACT_GRANT: 80LARC17C0003
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
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