Table of Contents Author Guidelines Submit a Manuscript
International Journal of Aerospace Engineering
Volume 2017, Article ID 8085623, 13 pages
https://doi.org/10.1155/2017/8085623
Research Article

An Efficient Energy Constraint Based UAV Path Planning for Search and Coverage

Department of Mechanical and Aerospace Engineering, California State University, Long Beach, 1250 N. Bellflower Blvd., Long Beach, CA 90840, USA

Correspondence should be addressed to Praveen Shankar; ude.blusc@raknahs.neevarp

Received 5 October 2016; Revised 10 January 2017; Accepted 22 March 2017; Published 30 April 2017

Academic Editor: Paul Williams

Copyright © 2017 German Gramajo and Praveen Shankar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. Ryan, M. Zennaro, A. Howell, R. Sengupta, and J. K. Hedrick, “An overview of emerging results in cooperative UAV control,” in Proceedings of the 43rd IEEE Conference on Decision and Control (CDC '04), vol. 1, pp. 602–607, IEEE, December 2004. View at Publisher · View at Google Scholar · View at Scopus
  2. A. Ryan and J. K. Hedrick, “A mode-switching path planner for UAV-assisted search and rescue,” in Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference (CDC-ECC '05), pp. 1471–1476, December 2005. View at Publisher · View at Google Scholar · View at Scopus
  3. S. Waharte and N. Trigoni, “Supporting search and rescue operations with UAVs,” in Proceedings of the International Conference on Emerging Security Technologies (EST '10), pp. 142–147, September 2010. View at Publisher · View at Google Scholar · View at Scopus
  4. J. S. Kim and B. K. Kim, “Minimum-time grid coverage trajectory planning algorithm for mobile robots with battery voltage constraints,” in Proceedings of the International Conference on Control, Automation and Systems (ICCAS '10), pp. 1712–1717, October 2010. View at Scopus
  5. D. P. Gillen, “Cooperative behavior schemes for improving the effectiveness of autonomous wide area search munitions,” in Cooperative Control and Optimization, pp. 95–120, 2001. View at Google Scholar
  6. Y. Guo and M. Balakrishnan, “Complete coverage control for nonholonomic mobile robots in dynamic environments,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '06), pp. 1704–1709, May 2006. View at Publisher · View at Google Scholar · View at Scopus
  7. S. Waharte, A. Symington, and N. Trigoni, “Probabilistic search with agile UAVs,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '10), pp. 2840–2845, IEEE, May 2010. View at Publisher · View at Google Scholar · View at Scopus
  8. S. Yanhang and Z. Zhou, “Cooperative control for target search, classification and attack for AUAVs(attack uninhabited air vehicles),” in Proceedings of the 26th Chinese Control Conference (CCC '07), pp. 99–102, July 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. V. Kumar, “Cooperative control of UAVs for search and coverage,” in Proceedings of the AUVSI Conference on Unmanned Systems, vol. 2, pp. 1–14, 2006.
  10. A. Ahmadzadeh, A. Jadbabaie, V. Kumar, and G. J. Pappas, “Multi-UAV cooperative surveillance with spatio-temporal specifications,” in Experimental Robotics: 10th International Symposium on Experimental Robotics, vol. 39, pp. 5293–5298, 2006. View at Google Scholar
  11. G. Gramajo and P. Shankar, “Path-planning for an unmanned aerial vehicle with energy constraint in a search and coverage mission,” in Proceedings of the IEEE Green Energy and Systems Conference (IGSEC '16), pp. 1–6, Long Beach, Calif, USA, November 2016. View at Publisher · View at Google Scholar
  12. D. P. Raymer, Aircraft Design: A Conceptual Approach Fourth Edition, American Institute of Aeronautics and Astronautics Inc, Reston, Va, USA, 2006.
  13. J. John and D. Anderson, Introduction to Flight, McGraw-Hill, New York, NY, USA, 2005.
  14. DATCOM+ Pro Version 3.2, Holy Cows, Orlando, Fla, USA, 2014.