Inertial-based Deep-coupling Navigation Method with Embedded Flight Dynamics
To study the autonomous navigation method of high dynamic flight vehicle that does not rely on satellites,a flight dynamics model of high dynamic flight vehicle is established.The numerical integration method is used to solve the trajectory information of high dynamic flight vehicle,the flight error characteristics of high dynamic flight vehicle is analyzed,and generate the virtual inertial navigation data is generated.A navigation solution method using the dynamic weighting of measured inertial navigation data and virtual inertial navigation data is proposed based on the characteristics of flight errors,and the"velocity+attitude"matching Kalman filter method is used to further suppress the navigation errors.The inertial-based deep-coupling navigation method with embedded flight dynamics is proposed and proven through simulation.The results show that the proposed deep-coupling navigation method can significantly improve navigation accuracy.The improvement in navigation performance of the proposed method reaches 97.1%,72.9%,and 40%under different degrees of preset flight trajectory deviation.
high dynamic flight vehicleflight dynamicsinertial-based deep-couplingautonomous navigationerror characteristicsKalman filter
NETL
NSTL
万方数据
