A Real-time Adaptive Filtering Algorithm for Reentry Maneuvering

Abstract

In order to solve the problem of the real-time reconstruction of the reentry trajectory with lift-to-drag controlling law during the spacecraft’s reentry flight, an adaptive UKF filtering algorithm was proposed by using external measurements and considering the actual engineering situations. The filter’s state model and observation model were given, and some adaptive processing methods were used, including the maneuver detection and model switching method, and the acceleration compensation method, which were used to deal with the real-time tracking of the maneuvering process of the return flight. The simulation results show that the proposed calculation method is feasible, and the proposed adaptive processing algorithm applying the acceleration compensation can do the robust estimation processing of the reentry trajectory. The research results have certain reference value for the real-time estimation of maneuvering reentry spacecraft.