Fault-tolerant Integrated Navigation for Reusable Boost Vehicle Based on Strong Tracking UKF

摘要

Based on the special reentry navigation requirements of reusable boost vehicle (RBV), a kind of improved strong tracking unscented Kalman filter (UKF) is used for state estimation and tracking. A kind of novel method for fault diagnosis and isolation is used for checking the working state of each navigation sensor, and the effective fusion of multi-sensor information is carried out using a kind of original fusion model. The simulation results under typical failure distributions validate the perfect fault-tolerant performance of the navigation method.