Adaptive backstepping control for integrated guidance and control design with input constraints
In this paper, the problem of integrated guidance and control design is presented with input constraints. Adaptive backstepping is developed for the integrated model in the form of cascade structure with uncertainties. An auxiliary system is adopted to handle the effect of input saturation. First-order filters are introduced to avoid the tedious analytic computations in the design procedure and command filter is exploited to implement the physical constraints on the actuators. All signals in the closed-loop system are proved uniformly ultimate bounded via Lyapunov stability analysis. Simulation results demonstrate the effectiveness of the proposed control strategy.