Integrated strapdown missile guidance and control based on neural network disturbance observer

This paper investigates one integrated guidance and control (IGC) method for missiles with strapdown seeker. The IGC model considering the field-of-view (FOV) constraint is built by employing the strapdown decoupling method, based on which the strict feedback state equation with unmatched uncertainties is derived. The system uncertainties are tackled by neural network (NN) disturbance observer. To handle state constrain issue, the integral Barrier Lyapunov function (iBLF) is employed with the dynamic surface control (DSC) method to deal with the unmatched uncertainties. Then, the uniform ultimately boundedness of the system is proved and the FOV constraint is also guaranteed. Numerical simulation results demonstrate the effectiveness of the proposed control scheme.