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

The purpose of this paper is to develop an intelligent maneuvering decision system (IMDS) for computer generated forces (CGF). The proposed CGF can take actions similar to a human pilot to gain an advantageous status over the enemy target using the IMDS. The IMDS will produce the best control command from the control alternatives for the CGF in an air combat environment. In this paper, a predictive fuzzy inference system (PFIS) is proposed as the IMDS for CGF, which incorporates and mimics human thinking capability and the maximum capacity of CGF. Before PFIS executes the fuzzy inference system (FIS) process, it will generate the control alternatives from CGF’s decision space, and allow CGF to predict its future posture. This study assumes that CGF can accurately predict an enemy target’s future position, and then PFIS applies the predicted data to generate the best control command. In this paper, the proposed algorithm is verified with two types of fighter flying data that are used as the enemy target’s flying trajectories. The simulation and discussion of the proposed algorithm shows that PFIS will enable CGF to obtain the best status in an air combat environment and the performance of the proposed algorithm will be affected by the CGF’s prediction ability for enemy target.