Applying artificial intelligence theory to helicopter SAF simulation based on HLA/RTI (1)

Abstract

The paper describes a helicopter SAF simulation model based on HLA/RTI. Helicopter SAF requires complicated behavior in three dimensional space. The authors have developed a helicopter SAF model in Japan and have confirmed the effectiveness of the model. The characteristics of study are as follows. 1) This helicopter has "intention" by applying artificial intelligence (AI) theory, so it will behave autonomically and judge by itself. 2) Applying rule based reasoning (RBR) and case based reasoning (CBR), we can reflect proficient pilot behavior on our developed model. As a result, the helicopter conducts complicated flying patterns such as terrain avoidance. 3) The operator has a set mission to search for the enemy whose location is unknown. 4) The algorithm for enemy detection is based on searching pattern data. 5) The enemy can also detect the helicopter by using radar and watchman, as well as assaulting the helicopter by missile. 6) Regarding environmental federation, we use a digital map data and input weather data for visibility, ceiling, cloudy status, wind velocity, wind direction etc. 7) To scrutinize helicopter flying pattern, we can conduct complicated simulation by using simpler rules for the helicopter flight pattern than normal.