Study on UCAV Robust Maneuvering Decision in Automatic Air Combat Based on Target Accessible Domain

Abstract

Abstract The paper presents a deep study on the robust maneuvering decision of unmanned combat aerial vehicle (UCAV) in air combat. First, a method to descript the target accessible domain by angles is designed. Then the state prediction model of the target with variable weight is built based on the change of target tactical intention. Second, robust membership functions that reflect the air combat situation are denoted to building up the decision method, robust multi-objective optimization (RMO). Finally, grey wolf optimizer (GWO) is adopted to complete the optimization. The simulation result shows that, the model of target state prediction based on accessible domain can reflect the tactical intention and the state prediction can obtain better situation advantage than that without prediction. Moreover, the RMO can get the promising result and the GWO can satisfy the need of maneuvering decision.