Abstract
Teams of unmanned aerial vehicles (UAVs) are well suited to perform a search mission where multiple unknown targets located over a wide area. It is an important research area in cooperative control. Hormones are the common biological mechanism that enables cells to communicate and coordinate without central units. In this paper, we combine digital hormone mechanisms with recent search map method to provide a more effective way for multiple UAVs cooperative search. By using this extended map, single UAV can make local path decisions and coordinate their search behavior with neighboring UAVs via digital hormones information. UAV teams can display a better area searching ability without central command and control. Simulation results demonstrate the efficiency of the proposed approach.
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References
Chandler, P.R., Pachter, M., Swaroop, D., Fowler, J.M., Howlett, J.K., Rasmussen, S., Schumacher, C., Nygard, K.: Complexity in UAV cooperative control. In: American Control Conference, pp. 1831–1836 (2002)
Ryan, A., Zennaro, M., Howell, A., Sengupta, R., Hedrick, J.K.: An overview of emerging results in cooperative UAV control. In: IEEE Conference on Decision and Control, pp. 602–607 (2004)
Polycarpou, M.M., Yanli, Y., Passino, K.M.: A Cooperative Search Framework for Distributed Agents. In: IEEE International Symposium on Intelligent Control, pp. 1–6 (2001)
Baum, M.L., Passino, K.M.: A Search-Theoretic Approach to Cooperative Control for Uninhabited Air Vehicles. In: AIAA Guidance, Navigation, and Control Conference, pp. 1–8 (2002)
Sujit, P.B., Ghose, D.: Multiple UAV Search Using Agent Based Negotiation Scheme. In: American Control Conference, pp. 2995–3000 (2005)
Jin, Y., Minai, A.A., Polycarpou, M.M.: Cooperative Real-Time Search and Task Allocation in UAV Teams. In: IEEE Conference on Decision and Control, pp. 7–12 (2003)
Yanli, Y., Polycarpou, M.M., Minai, A.A.: Multi-UAV Cooperative Search Using an Opportunistic Learning Method. ASME Journal of Dynamic Systems, Measurement, and Control 129(5), 716–728 (2007)
Bertuccelli, L., How, J.P.: Search for Dynamic Targets with Uncertain Probability Maps. In: American Control Conference, pp. 737–742 (2006)
Parunak, H.V.D., Purcell, M., O’Connell, R.: Digital Pheromones for Autonomous Coordination of Swarming UAV’s. In: AIAA Unmanned Aerospace Vehicles, Systems, Technologies, and Operations Conference, pp. 1–9 (2002)
Erignac, C.A.: An Exhaustive Swarming Search Strategy based on Distributed Pheromone Maps. In: AIAA Infotech@Aerospace Conference and Exhibit (2007)
Price, I.C.: Evolving Self-Organized Behavior for Homogeneous and Heterogeneous UAV or UCAV Swarms. M.S. Thesis. Air Force Institute of Technology (2006)
Wei-Min, S., Peter, W., Aram, G., Cheng-Ming, C.: Hormone-Inspired Self-Organization and Distributed Control of Robotic Swarms. Autonomous Robots 17(1), 93–105 (2004)
Feili, H., Wei-Min, S.: Mathematical foundation for hormone-inspired control for self-reconfigurable robotic systems. In: IEEE International Conference on Robotics and Automation, pp. 1477–1482 (2006)
Jin, Y., Liao, Y., Minai, A.A., Polycarpou, M.M.: Balancing Search and Target Response in Cooperative Unmanned Aerial Vehicle (UAV) Teams. IEEE Transactions on Systems, Man, and Cybernetics 36(3), 571–587 (2006)
Kamrani, F.: Using On-line Simulation in UAV Path Planning. M.S. Thesis. Sweden Royal Institute of Technology (2007)
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© 2008 Springer-Verlag Berlin Heidelberg
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Peng, H., Li, Y., Wang, L., Shen, L. (2008). Hormone-Inspired Cooperative Control for Multiple UAVs Wide Area Search. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_99
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DOI: https://doi.org/10.1007/978-3-540-87442-3_99
Publisher Name: Springer, Berlin, Heidelberg
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