Hyper-X Mach 10 Trajectory Reconstruction

Karlgaard, Christopher D.; Martin, John G.; Tartabini, Paul V.; Thornblom, Mark N.

This paper discusses the formulation and development of a trajectory reconstruction tool for the NASA X-43A/Hyper-X high speed research vehicle, and its implementation for the reconstruction and analysis of flight test data. Extended Kalman filtering techniques are employed to reconstruct the trajectory of the vehicle, based upon numerical integration of inertial measurement data along with redundant measurements of the vehicle state. The equations of motion are formulated in order to include the effects of several systematic error sources, whose values may also be estimated by the filtering routines. Additionally, smoothing algorithms have been implemented in which the final value of the state (or an augmented state that includes other systematic error parameters to be estimated) and covariance are propagated back to the initial time to generate the best-estimated trajectory, based upon all available data. The methods are applied to the problem of reconstructing the trajectory of the Hyper-X vehicle from data obtained during the Mach 10 test flight, which occurred on November 16th 2004.

Document ID

20050232845

Acquisition Source

Langley Research Center

Document Type

Conference Paper

Authors

Date Acquired

August 23, 2013

Publication Date

January 1, 2005

Subject Category

Report/Patent Number

Meeting Information

Meeting: AIAA Atmospheric Flight Mechanics Conference and Exhibit

Location: San Francisco, CA

Country: United States

Start Date: August 15, 2005

End Date: August 18, 2005

Sponsors: American Inst. of Aeronautics and Astronautics

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Public

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