Agent-Based Dynamically Reconfigurable Missile Modelling

Abstract

In this study, an air platform dynamic model that has the ability to maneuver in all axes (displacement and rotation) and to follow another aircraft is modeled. Rigid aircraft mathematical models is adopted for the model aircraft and the calculations are done in a generic way except for aeroelasticity effects. In consideration of the geodesic structure of the earth, the gravity model is also designed accordingly and the atmospheric conditions at a given altitude are included in the calculations. The created air platforms are dynamically changed in degrees of freedom in accordance with the analysis purposes, under the defined scenario conditions. For missile models, the definition of the configuration including phase definitions, engine selections and customization of engine properties, seeker activation schedule and fuse type are user-defined supported by an interface. Phase transition controls, motor controls, sensor opening and closing decisions are rule-based and reasoning-based. To be able to enhance modeling flexibility and inject a reasoning capability, the models are designed as intelligent agents and they are modeled in Agent driven simulation framework (AdSiF).

Keywords

• AdSiF,Agent based simulation,Air Defense,Aircraft Modeling,Missile Modeling,Six Axis Motion

References

1. [1] D. G. Hull, Fundamentals of Airplane Flight Mechanics. Heidelberg, Germany: Springer-Verlag Berlin, 2007.
2. [2] “Military Handbook Missile Part I Simulation One Surface-To-Air,” 1995.
3. [3] J. Roskam, “Airplane Flight Dynamics and Automatic Flight Controls – Part II,” USA, 2003.
4. [4] M. F. Hocaoglu, “AdSiF : Agent Driven Simulation Framework,” in Hunstville Simulation Conference -HSC2005, 2005.
5. [5] M. F. Hocaoğlu, “AdSiF : Agent driven Simulation Framework,” in USMOS 2011- National Defense Application and Modeling & Simulation Conference -(in Turkish), 2011.
6. [6] M. F. Hocaoğlu, “AdSiF: Developer Guide.” Agena Information & Defense System Ltd. www.agenabst.com, Istanbul, 2013.
7. [7] M. F. Hocaoğlu, “Aspect Oriented Programming Perspective in Agent Programming,” USMOS 2013- Natl. Def. Appl. Model. Simul. Conf. -(in Turkish), vol. 8, no. 3, 2013.
8. [8] M. F. Hocaoglu, “Aspect Oriented Programming Perspective in Software Agents and Simulation,” Int. J. Adv. Technol., vol. 8, no. 3, 2017.

9. [9] Wooldridge, M., An introduction to MultiAgent Systems. John Wiley & Sons, Ltd, 2002.
10. [10] R. J. Schalkoff, Artificial Intelligence: An Engineering Approach. McGraww-Hill, New York, 1990.
11. [11] D. J. Murray-Smith, Continuous System Simulation. University og Glasgow, Glasgow, UK: Chapman & Hall, 1995.