Vision-based adaptive guidance law for intercepting a manoeuvring target

Abstract

This article introduces an adaptive guidance law for intercepting a manoeuvring target using information from an imaging seeker. The relative missile–target kinematics is represented in the line-of-sight (LOS) frame, and the image information – instead of the relative range – is introduced to formulate the interception problem as an adaptive control problem with an unknown control coefficient. Considering the target's acceleration as a time-varying bounded external disturbance, an estimator with an adaptive property is derived. It is proven that the proposed guidance law can guarantee the LOS angular rates global uniform ultimate boundedness during the terminal course. The effectiveness of the proposed guidance law has been demonstrated in simulations for two kinds of typical manoeuvring targets.