On Orbit Parameter Identification of UltraQuiet Platform with Flexible Payloads

On an ultraquiet platform, the vibration of flexible payloads will decrease the onorbit identification accuracy of platform model parameters. Based on the multiple concurrent recursive least square method (MCRLS)，a parameter identification method is proposed, which improves the onorbit identification accuracy of the parameters of ultraquiet platform and provides precise dynamic models. The ultraquiet platform dynamic model is established with the flexible payload vibration. The Kalman Filter is used to estimate the vibration mode of the flexible payload. The parameters of the dynamic model are identified via recursive least square method. Simulation results show that, the estimation precision of ultraquiet platform model parameters is improved with the proposed method, compared with the one without consideration of the vibration of flexible payloads.