Guidance algorithm for satisfying terminal speed and Impact Angle constraints with the neural network technique

Abstract

It is important to control a missile to hit a target with the terminal speed and impact angle constraints because these determine the damage of the target. In this paper, we propose a guidance algorithm to satisfy the terminal speed and the impact angle constraints in ground-to-ground engagement environment of the missile. The algorithm includes a neural network for learning data set comprised of initial parameters at the initial stage of terminal homing phase and the corresponding terminal speed. The neural network calculates the flight path angle to meet the terminal speed constraint with the initial parameters and control the missile. After that, the missile is guided to the target with the impact angle constraint via IAC(Impact-Angle-Control) law.