K. Liu et al., MODELING HUBBLE-SPACE-TELESCOPE FLIGHT DATA BY Q-MARKOV COVER IDENTIFICATION, Journal of guidance, control, and dynamics, 17(2), 1994, pp. 250-256
This paper presents a state-space model for the Hubble space telescope
under the influence of unknown disturbances in orbit. This model was
obtained from night data by applying the Q-Markov Covariance Equivalen
t Realization (Q-Markov Cover) identification algorithm. This state-sp
ace model guarantees the match of the first Q-Markov parameters and co
variance parameters of the Hubble system. The flight data were partiti
oned into high- and low-frequency components for more efficient Q-Mark
ov Cover modeling to reduce some computational difficulties of the Q-M
arkov Cover algorithm. This identification revealed more than 20 light
ly damped modes within the bandwidth of the attitude control system. C
omparisons with the analytical (TREETOPS) model are also included.