Control system algorithms for groups of UAVs
DOI:
https://doi.org/10.18372/1990-5548.48.11208Keywords:
UAVs, multi-agent system, tasks distribution, single-master-multi-slave systemAbstract
The paper is dedicated to research of control system algorithms for the groups of unmannedaerial vehicles. When UAVs are on mission, it’s suitable to control them using less amount of pilots, andcontrol them as a swarm. Using the ad-hoc communication between the agents, and remote control of onemaster relatively to the group of slave-type vehicles, this type of system is quite usable for the list ofactually necessary tasks. This work describes four novel control system algorithms for a group of UAVsReferences
A. Abraham, C. Grosan, V. Ramos, and eds., “Swarm Intelligence in Data Mining,” Studies in Computational Intelligence, vol. 34, Springer, 2006.
L. Boiney, “Team decision making in time-sensitive environments”. Paper presented at 10th ICCRTS in McLean, VA, 2005.
Y. U. Cao, A. S. Fukunaga, and A. Kahng, “Cooperative mobile robotics: Antecedents and directions”. Autonomous Robots, no. 4(1), pp. 7–27, 1997.
J. W. Crandall, and M. L. Cummings, “Identifying predictive metrics for supervisory control of multiple robots”. IEEE Transactions on Robotics: Special Issue on Human-Robot Interaction.
M. L. Cummings, A. S. Brzezinski, and J. D. Lee, “The impact of intelligent aiding for multiple unmanned aerial vehicle schedule management”. IEEE Intelligent Systems: Special Issue on Interacting with Autonomy,vol. 22(2), 2007, pp. 52–59.
G. Hoffmann, S. Waslander, and C. Tomlin, “Distributed cooperative search using informationtheoretic costs for particle filters, with quadrotor applications,” in Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit,
August 2006.
G. Mathews and H. Durrant-Whyte, “Decentralised optimal control for reconnaissance,” In Proceedings of the Conference on Information, Decision and
Control, Adelaide, Australia, Feb 2007.
M. E. Campbell and M. Wheeler, “A vision based geolocation tracking system for UAVs,” in Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, August 2006.
R. Vidal, O. Shakernia, H. J Kim, H Shim, and S. Sastry, “Multi-agent probabilistic pursuit-evasion games with unmanned ground and aerial vehicles,” IEEE Transactions on Robotics and Automation, vol. 18, 2002, pp. 662–669.
S. J. Julier, “The scaled unscented transformation,” in Proceedings of American Control Conference, vol. 6, Anchorage, AK, USA, May 2002, pp. 4555–4559.
T. Furukawa, F. Bourgault, B. Lavis, and H. Durrant-Whyte, “Recursive bayesian search-and-tracking using coordinated uavs for lost targets,” in Proceedings of the IEEE Conference on Robotics and Automation, Orlando, Florida, May 2006.
Downloads
Issue
Section
License
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).