Hardware on-Board Implementation of a Possible Solution to Introduce UAVs into Non Segregated Areas

Sergio Taraglio, Vincenzo Nanni, Damiano Taurino

Abstract

The implementation of a distributed control algorithm for the safe flight of Unmanned Aerial Vehicles (UAVs) in traffic conditions in an embedded processor unit is presented. Details on the implementation are given. The control algorithm is designed in order to avoid separation infringements with aircraft in the neighbourhood. The algorithm is grounded on Satisficing Game Theory and supplies manoeuvres aimed at providing separation distance among aircraft. Some results of simulated flight trials of UAVs in segregated and non segregated areas are reviewed. Some experiments on the capability of the embedded algorithm to pilot a simulated UAV in different traffic condition are presented.

References

  1. Bellomi F., Bonato R., Nanni V., Tedeschi A., 2008. Satisficing Game Theory for Conflict Resolution and Traffic Optimisation. Air Traffic Control Quarterly, Vol. 16, no. 3, 211-233.
  2. Boyan J., Littman M., 1994. Packet routing in dynamically changing networks: A reinforcement learning approach. in Advances in Neural Information Processing, Systems - 6, 671-678. Morgan Kaufmann.
  3. CANFestival.org, computer software, 2012. Available from: http://www.canfestival.org/, [24 February 2012]
  4. CANopen Wikipedia, 2012. Available from: http://en. wikipedia.org/wiki/CANopen, [24 February 2012]
  5. Carbone C., Ciniglio U., Corraro F. Luongo S., 2006. Decision-Making Algorithms for Aircraft Autonomous Collision Avoidance. In Proc of 5th EUROCONTROL Innovative Research Workshop & Exhibition, Bretigny-sur-Orge, France.
  6. Carbone C., Ciniglio U., Corraro F., Luongo S., 2007. Autonomous Aircraft Separation Assurance And Collision Avoidance Algorithm. In Proc of the 7th ATM R&D Seminar, Barcelona, Spain.
  7. Choi S. P. M., Yeung D. Y., 1996. Predictive Q-routing: A memory based reinforcement learning approach to adaptive traffic control. In Advances in Neural Information Processing Systems - 8, 945-951. MIT Press.
  8. ICAO International Civil Aviation Organization, 2011. Circular 328.
  9. JSBSim.sourceforge.net, computer software 2012. Available from: http://jsbsim.sourceforge.net, [24 February 2012].
  10. Kinetic Avionic website, 2012. Available from: http://ww w.kinetic-avionics.com, [24 February 2012].
  11. Lukovic M., 2011. The Future of the Civil and Military UAV Market, in Frost & Sullivan Market Insight, 28 June 2011.
  12. MIDCAS project website, 2012. Available from: http:// www.midcas.org, [24 February 2012].
  13. Porretta M., Schuster W., Majumdarand A., Ochieng W., 2010. Strategic Conflict Detection and Resolution Using Aircraft Intent Information, The Journal Of Navigation, 63, 61-88.
  14. Roch J. L., 2008. AIR4ALL: Feedback from Questionnaire and Workshop 1, EUROCONTROL, Brussels, 6 May 2008.
  15. Schneider D., 2011. Top 11 Technologies of the Decade - Drone Aircraft. IEEE Spectrum, vol 48, no. 1, p 43, January 2011.
  16. SESAR project website, 2012. Available from: http:// www.sesarju.eu/programme/workpackages
  17. Stamper W., 2005. Understanding mode S technology. Defense Electronics.
  18. Stirling W. C., 2003. Satisficing Games and Decision Making: With Applications to Engineering and Computer Science. Cambridge University Press, 2003.
  19. Taurino D., Frau G., Beato V., Tedeschi A., 2011. ADS-B Based Separation Support for General Aviation. In Proceedings of ATACCS, Barcelona, Spain, 26-27 May.
  20. Taurino D., Taraglio S., Tedeschi A., Pasquini A., Nanni V., 2010. Increasing the Autonomy of Unmanned Aircraft Vehicles with a Game Theory Approach. In Proc of Intl. Conf. on Intelligent Unmanned Systems, Bali, Indonesia, Nov 3-5.
  21. Taurino D., Tedeschi A., Sanchez A., Flores A., Sysala R., Suchanek P., Nanni V., Taraglio S., 2010. Adaptive Routing and Conflict Management for Unmanned Aircraft Vehicles. In Proc of Robotics and Applications (RA2010), Boston, Mass. USA, Nov 1-3.
  22. Wolpert D., Wheeler K., Tumer K., 1999. Automated design of multi-agent systems. In Proc. of the 3rd Int. Conf. of Autonomous Agents.
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Paper Citation


in Harvard Style

Taraglio S., Nanni V. and Taurino D. (2012). Hardware on-Board Implementation of a Possible Solution to Introduce UAVs into Non Segregated Areas . In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-21-1, pages 177-182. DOI: 10.5220/0004029501770182


in Bibtex Style

@conference{icinco12,
author={Sergio Taraglio and Vincenzo Nanni and Damiano Taurino},
title={Hardware on-Board Implementation of a Possible Solution to Introduce UAVs into Non Segregated Areas},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2012},
pages={177-182},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004029501770182},
isbn={978-989-8565-21-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Hardware on-Board Implementation of a Possible Solution to Introduce UAVs into Non Segregated Areas
SN - 978-989-8565-21-1
AU - Taraglio S.
AU - Nanni V.
AU - Taurino D.
PY - 2012
SP - 177
EP - 182
DO - 10.5220/0004029501770182