Adaptive sliding model guidance law considering input saturation and autopilot lag

摘要

In this paper, a guidance law is developed using the sliding model control theory. The designed law possesses good performance when a maneuvering target is intercepted with the consideration of the input saturation and autopilot lag. Regarding the target acceleration as unknown bounded external disturbance, the adaptive control is designed to estimate the upper bound of the disturbance in such a way that it is not required to be known in advance. A sliding model estimator is also presented to estimate the line-of-sight angle rate for which the guidance law is required. According to the Lyapunov theory, the guidance law can be converging to zero, which is proved. Several simulations including 100 Monte Carlo are made to validate the effectiveness of the proposed guidance law.