Differential Game Based Air Combat Maneuver Generation Using Scoring Function Matrix
| Autor: | Byung Yoon Lee, Hyunju Park, Min-Jea Tahk, Dong-Wan Yoo |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Engineering business.industry Air combat ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology Function (mathematics) Upper and lower bounds Theory based Matrix (mathematics) 020901 industrial engineering & automation Control theory Differential game 0202 electrical engineering electronic engineering information engineering Visual range 020201 artificial intelligence & image processing business Simulation |
| Zdroj: | International Journal of Aeronautical and Space Sciences. 17:204-213 |
| ISSN: | 2093-274X |
| DOI: | 10.5139/ijass.2016.17.2.204 |
| Popis: | A differential game theory based approach is used to develop an automated maneuver generation algorithm for Within Visual Range (WVR) air-to-air combat of unmanned combat aerial vehicles (UCAVs). The algorithm follows hierarchical decisionmaking structure and performs scoring function matrix calculation based on differential game theory to find the optimal maneuvers against dynamic and challenging combat situation. The score, implying how much air superiority the UCAV has, is computed from the predicted relative geometry, relative distance and velocity of two aircrafts. Security strategy is applied at the decision-making step. Additionally, a barrier function is implemented to keep the airplanes above the altitude lower bound. To shorten the simulation time to make the algorithm more real-time, a moving horizon method is implemented. An F-16 pseudo 6-DOF model is used for realistic simulation. The combat maneuver generation algorithm is verified through three dimensional simulations. |
| Databáze: | OpenAIRE |
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