Abstract
The increasing use of unmanned vehicles in civilian (metropolitan traffic monitoring, rapid assessment of disaster areas) and military (reconnaissance, target identification, tracking and engagement) domains has driven critical requirements for the interoperability of manned-unmanned systems. In this work, we provide the design and the development of a flight mission simulator structured for joint real-time simulation across manned-unmanned fleets, and the mission control center. The hardware structure within the network simulator is tailored to mimic the distributed nature of each of the vehicle’s processors and communication modules. Open-source flight simulation software, FlightGear, is modified for networked operations and it is used as the 3D visualization element for the pilot and the mission controls. The UAV dynamics and low-level control algorithms are embedded within the xPC target computers. Equipped with 3D flight simulation displays and touch-screen C2 interface at the desktop pilot level, the platform also allows us to rapidly prototype and test pilot-unmanned fleet supervisory control and pursuit-evasion game designs. In addition, the unique design enables seamless integration of real unmanned air vehicles within a simulated scenario. Hardware-in-the-loop testing of network bus compatible mission computers and avionics systems provides us with validation of the C2 architectures and the hardware designs on a realistic lab-scale platform before the actual flight experiments.
A part of this work is funded under the DPT HAGU program administered through ITU ROTAM.
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References
Behringer, R., Tam, C., McGee, J., Sundareswaran, V., Vassiliou, M.(eds.): System for synthetic vision and augmented reality in future flight decks. In: The International Society for Optical Engineering. Proceedings of SPIE, vol. 4023 (2000)
Christiansen, R.S.: Design of an Autopilot for Small Unmanned Aerial Vehicles. Msc. thesis, Brigham Young University (2004)
Cummings, M.L., Guerlain, S.: An interactive decision support tool for real-time in-flight replanning of autonomous vehicles. In: AIAA 3rd Unmanned Unlimited Technical Conference, Workshop and Exhibit, pp. 1–8 (2004)
Hollan, J., Hutchins, E., Kirsh, D.: Distributed cognition: Toward a new foundation for human-computer interaction research. ACM Transactions on Computer-Human Interaction 7, 174–196 (2000)
Horne, W.F., Tucker, R.R., Ekiert, S., Hannan, C.H., Radke, J., Zak, J.A.: Synthetic vision system technology demonstration methodology and results to date. Technical Report 1-19, SAE Technical Paper Series (1992)
How, J., Kuwata, Y., King, E.: Flight demonstrations of cooperative control for UAV teams. In: 3rd Conference Unmanned Unlimited Technical Conference, Chicago, Illinios (September 2004)
Inalhan, G., Stipanovic, D.M., Tomlin, C.: Decentralized optimization, with application to multiple aircraft coordination. In: The Proceedings of the 41st IEEE Conference on Decision and Control, Las Vegas (2002)
Jones, E.D., Roberts, R.S., Hsia, T.C.S.: STOMP: a software architecture for the design and simulation of UAV-based sensor networks. In: Proceedings of IEEE International Conference on Robotics and Automation, ICRA 2003, vol. 3, pp. 3321–3326 (2003)
Karaman, S., Aksugur, M., Baltaci, T., Bronz, M., Kurtulus, C., Inalhan, G., Altug, E., Guvenc, L.: Aricopter: Aerobotic platform for advances in flight, vision controls and distributed autonomy. In: IEEE Intelligent Vehicles Symposium, Istanbul, Turkey (June 2007)
Karaman, S., Inalhan, G.: Large-scale task/target assignment for UAV fleets using a distributed branch and price optimization scheme. In: Int. Federation of Automatic Control World Congress (IFAC WC 2008), Seoul, South Korea (June 2008)
Koyuncu, E., Inalhan, G.: A probabilistic b-spline motion planning algorithm for unmanned helicopters flying in dense 3d environments. In: International Conference Intelligent Robots and Systems, Nice (September 2008)
Koyuncu, E., Ure, N.K., Inalhan, G.: A probabilistic algorithm for mode based motion planning of agile air vehicles in complex environments. In: Int. Federation of Automatic Control World Congress (IFAC WC 2008), Seoul, South Korea (June 2008)
Makarenko, A.A.: A decentralized Architecture for Active Sensor Networks. PhD thesis, The University of Sydney (November 2004)
Mutlu, T., Comak, S., Bayezit, I., Inalhan, G., Guvenc, L.: Development of a cross-compatible micro-avionics system for aerorobotics. In: IEEE Intelligent Vehicles Symposium, Istanbul, Turkey (June 2007)
Nguyen, T.L., Ogburn, M.E., Gilbert, W.P., Kibler, K.S., Brown, P.W., Deal, P.L.: Simulator study of stall/post-stall characteristics of a fighter airplane with relaxed longitudinal static stability. Technical paper, NASA (December 1979)
GPL OpenSource. The flightgear flight simulator (1996)
GPL OpenSource. Boost c++ libraries (2001)
Ure, N.K., Inalhan, G.: Mode based hybrid controller design for agile maneuvering F-16 aircraft. Journal of Process Control (manuscript, 2008)
Valenti, M., Schouwenaarsy, T., Kuwataz, Y., Feronx, E., How, J.: Implementation of a manned vehicle - UAV mission system. In: AIAA Guidance, Navigation, and Control Conference and Exhibit (2004)
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Arslan, O., Armagan, B., Inalhan, G. (2009). Development of a Mission Simulator for Design and Testing of C2 Algorithms and HMI Concepts across Real and Virtual Manned-Unmanned Fleets. In: Hirsch, M.J., Commander, C.W., Pardalos, P.M., Murphey, R. (eds) Optimization and Cooperative Control Strategies. Lecture Notes in Control and Information Sciences, vol 381. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88063-9_25
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DOI: https://doi.org/10.1007/978-3-540-88063-9_25
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