Terminal guidance law for exoatmospheric kill vehicle with energy optimization method

A 6-degree of freedom (DOF) model of exoatmospheric kill vehicle (EKV) considering error source of the propulsion system is presented under the issue of designing terminal guidance law. Based on the predictive control theory, a new simple form of an augmented predictive guidance law considering the target acceleration and state estimation error of EKV is proposed, and the asymptotical stability of the guidance system is proved by using the Lyapunov's second method. In order to minimize the fuel consumption of EKV, an energy optimization algorithm based on the sequential quadratic programming (SQP) is applied. The simulation results show that the guidance law and the energy optimization algorithm not only hit the target accurately, but also meet the requirements of the minimum fuel consumption and a lower switching frequency of the EKV engine.