Basic Study on Helicopter SAF Simulation based on HLA RTI

摘要

This paper describes helicopter SAF simulation model based on HLA/RTI. Since Helicopter SAF requires complicated behavior on 3 dimensional space. It also has to consider the effect of wind velocity, direction, terrain etc. Actual situation in battle space has uncertainty that is difficult to express in the usual simulation. In this study, we have developed helicopter SAF model at first in Japan and confirmed the effectiveness of our model. The characteristics of study are as follows. 1) This helicopter has "intention" by applying Artificial Intelligence (AI) theory. So it will behave as autonomic and judge by itself. 2) Applying Rule Based Reasoning (RBR) and Case Based Reasoning (CBR), we can reflect the proficient pilot behavior to our developed model. As the result, the helicopter conducts with much complicated flying pattern as terrain avoidance, nap of the earth etc. 3) In this model, the operator has set mission to search enemy which location is unknown. The helicopter theorizes the location of enemy and plans the flight scheme using AI theory. 4) Algorithm for detecting enemy is based on the searching pattern data that we have surveyed from a proficient watchman. 5) Enemy can also detect the Helicopter by using radar and watchman. And they can assault the helicopter by missile. 6) Regarding environmental federation, we use digital map data and input weather data as visibility, ceiling, cloudy status, wind velocity, wind direction etc. Hence, we can realize more actual meteorological situation than existing simulation. 7) To scrutinize helicopter-flying pattern, we can conduct complicated simulation by using simpler rules for the helicopter flight pattern than usual one. A computer's processor is required less work than usual RBR. As the result, we found the way to conduct major scale federation or more realistic simulation than existing model.