NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Modeling Hubble Space Telescope flight data by Q-Markov cover identificationA state space model for the Hubble Space Telescope under the influence of unknown disturbances in orbit is presented. This model was obtained from flight data by applying the Q-Markov covariance equivalent realization identification algorithm. This state space model guarantees the match of the first Q-Markov parameters and covariance parameters of the Hubble system. The flight data were partitioned into high- and low-frequency components for more efficient Q-Markov cover modeling, to reduce some computational difficulties of the Q-Markov cover algorithm. This identification revealed more than 20 lightly damped modes within the bandwidth of the attitude control system. Comparisons with the analytical (TREETOPS) model are also included.
Document ID
19930038913
Document Type
Conference Paper
Authors
Liu, K. (NASA Marshall Space Flight Center Huntsville, AL, United States)
Skelton, R. E. (Purdue Univ. West Lafayette, IN, United States)
Sharkey, J. P. (NASA Marshall Space Flight Center Huntsville, AL, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1992
Publication Information
Publication: In: 1992 American Control Conference, 11th, Chicago, IL, June 24-26, 1992, Proceedings. Vol. 3 (A93-22776 07-63)
Subject Category
SPACECRAFT DESIGN, TESTING AND PERFORMANCE
Distribution Limits
Public
Copyright
Other