Q-Markov Cover identification with frequency partition for modal analysis of Hubble telescope flight data Conference Paper uri icon


  • In this paper, we present modal analysis results of Hubble space telescope flight data by a state space time-domain identification algorithm, called Q-Markov Cover (Q-Markov Covariance Equivalent Realization). The identification algorithm obtains a system state space model which matches the first Q Markov parameters and covariance parameters of the physical system generating the output data. The algorithm was applied to Hubble space telescope flight data to obtain a state space model for the telescope under an unknown disturbance in orbit. The flight data were partitioned into high and low frequency components for Q-Markov Cover modeling, to avoid some computational difficulties of the Q-Markov Cover algorithm. This identification revealed more than 20 modal resonances within the bandwidth of the attitude control system.

published proceedings

  • Proceedings of the International Modal Analysis Conference - IMAC

author list (cited authors)

  • Liu, K., Skelton, R. E., & Peterson, L. D.

complete list of authors

  • Liu, K||Skelton, RE||Peterson, LD

publication date

  • January 1991