Abstract
References
- [1] D. G. Hull, Fundamentals of Airplane Flight Mechanics. Heidelberg, Germany: Springer-Verlag Berlin, 2007.
- [2] “Military Handbook Missile Part I Simulation One Surface-To-Air,” 1995.
- [3] J. Roskam, “Airplane Flight Dynamics and Automatic Flight Controls – Part II,” USA, 2003.
- [4] M. F. Hocaoglu, “AdSiF : Agent Driven Simulation Framework,” in Hunstville Simulation Conference -HSC2005, 2005.
- [5] M. F. Hocaoğlu, “AdSiF : Agent driven Simulation Framework,” in USMOS 2011- National Defense Application and Modeling & Simulation Conference -(in Turkish), 2011.
- [6] M. F. Hocaoğlu, “AdSiF: Developer Guide.” Agena Information & Defense System Ltd. www.agenabst.com, Istanbul, 2013.
- [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] M. F. Hocaoglu, “Aspect Oriented Programming Perspective in Software Agents and Simulation,” Int. J. Adv. Technol., vol. 8, no. 3, 2017.
- [9] Wooldridge, M., An introduction to MultiAgent Systems. John Wiley & Sons, Ltd, 2002.
- [10] R. J. Schalkoff, Artificial Intelligence: An Engineering Approach. McGraww-Hill, New York, 1990.
- [11] D. J. Murray-Smith, Continuous System Simulation. University og Glasgow, Glasgow, UK: Chapman & Hall, 1995.
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] D. G. Hull, Fundamentals of Airplane Flight Mechanics. Heidelberg, Germany: Springer-Verlag Berlin, 2007.
- [2] “Military Handbook Missile Part I Simulation One Surface-To-Air,” 1995.
- [3] J. Roskam, “Airplane Flight Dynamics and Automatic Flight Controls – Part II,” USA, 2003.
- [4] M. F. Hocaoglu, “AdSiF : Agent Driven Simulation Framework,” in Hunstville Simulation Conference -HSC2005, 2005.
- [5] M. F. Hocaoğlu, “AdSiF : Agent driven Simulation Framework,” in USMOS 2011- National Defense Application and Modeling & Simulation Conference -(in Turkish), 2011.
- [6] M. F. Hocaoğlu, “AdSiF: Developer Guide.” Agena Information & Defense System Ltd. www.agenabst.com, Istanbul, 2013.
- [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] M. F. Hocaoglu, “Aspect Oriented Programming Perspective in Software Agents and Simulation,” Int. J. Adv. Technol., vol. 8, no. 3, 2017.
- [9] Wooldridge, M., An introduction to MultiAgent Systems. John Wiley & Sons, Ltd, 2002.
- [10] R. J. Schalkoff, Artificial Intelligence: An Engineering Approach. McGraww-Hill, New York, 1990.
- [11] D. J. Murray-Smith, Continuous System Simulation. University og Glasgow, Glasgow, UK: Chapman & Hall, 1995.
Details
| Primary Language | English |
|---|---|
| Subjects | Computer Software, Mechanical Engineering, Industrial Engineering |
| Journal Section | Research Articles |
| Authors | |
| Publication Date | October 1, 2018 |
| Submission Date | March 6, 2018 |
| Acceptance Date | July 5, 2018 |
| Published in Issue | Year 2018 Volume: 22 Issue: 5 |
Cite
Cited By
Traffic Simulation Modeling for Major Intersection
Sakarya University Journal of Science
Ahmed Bakhsh
https://doi.org/10.16984/saufenbilder.490984
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