Intelligent Maneuvering Decision System for Computer Generated Forces Using Predictive Fuzzy Inference System

摘要

—The purpose of this paper is to develop anintelligent maneuvering decision system (IMDS) forcomputer generated forces (CGF). The proposed CGF cantake actions similar to a human pilot to gain anadvantageous status over the enemy target using the IMDS.The IMDS will produce the best control command from thecontrol alternatives for the CGF in an air combatenvironment. In this paper, a predictive fuzzy inferencesystem (PFIS) is proposed as the IMDS for CGF, whichincorporates and mimics human thinking capability and themaximum capacity of CGF. Before PFIS executes the fuzzyinference system (FIS) process, it will generate the controlalternatives from CGF’s decision space, and allow CGF topredict its future posture. This study assumes that CGF canaccurately predict an enemy target’s future position, andthen PFIS applies the predicted data to generate the bestcontrol command. In this paper, the proposed algorithm isverified with two types of fighter flying data that are used asthe enemy target’s flying trajectories. The simulation anddiscussion of the proposed algorithm shows that PFIS willenable CGF to obtain the best status in an air combatenvironment and the performance of the proposedalgorithm will be affected by the CGF’s prediction abilityfor enemy target.