Journal of Intelligent & Robotic Systems

, Volume 74, Issue 1–2, pp 323–332 | Cite as

Multiple UAV Formations for Cooperative Source Seeking and Contour Mapping of a Radiative Signal Field

Article

Abstract

In this paper, four scenarios are presented for cooperative source seeking and contour mapping of a radiative signal field by multiple UAV formations. A source seeking strategy is adopted with saturation, and then it is modified to achieve contour mapping of the signal field with the moving source situation considered. A formation controller used for consensus problem is simplified and applied in the scenarios to stabilize the multiple UAV formation flight during source detection. The contour mapping strategy and the formation control algorithm are combined to guarantee stable source seeking and contour mapping in both circular flight path and square flight path via multiple UAV formations.

Keywords

Multiple UAV formation Cooperative Source seeking Contour mapping Decentralized formation Radiative signal field 

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References

  1. 1.
    Zhang, C., Arnold, D., Ghods, N., Siranosian, A., Krstic, M.: Source seeking with non-holonomic unicycle without position measurement and with tuning of forward velocity. Syst. Control Lett. 56, 245–252 (2007)CrossRefMATHMathSciNetGoogle Scholar
  2. 2.
    Cochran, J., Krstic, M.: Source seeking with a nonholonomic unicycle without position measurements and with tuning of angular velocity part I: stability analysis. In: 46th IEEE Conference on Decision and Control, New Orleans, LA, 12–14 Dec 2007Google Scholar
  3. 3.
    Jennie Cochran, N.G., Siranosian, A., Krstic, M.: Source seeking with a nonholonomic unicycle without position measurements and with tuning of angular velocity—part II: applications. In: 46th IEEE Conference on Decision and Control, New Orleans, LA, 12–14 Dec 2007Google Scholar
  4. 4.
    Matveev, A.S., Teimoori, H., Savkin, A.V.: Navigation of a non-holonomic vehicle for gradient climbing and source seeking without gradient estimation. In: 2010 American Control Conference. Marriott Waterfront, Baltimore, MD, 30 June–2 July 2010Google Scholar
  5. 5.
    Ögren, P., Fiorelli, E., Leonard, N.E.: Cooperative control of mobile sensor networks: adaptive gradient climbing in a distributed environment. IEEE Trans. Autom. Control 49(8), 1292–1302 (2004)CrossRefGoogle Scholar
  6. 6.
    Daniel, J., Stephens, L., Peurrung, A.J.: Detection of moving radioactive sources using sensor networks. IEEE Trans. Nucl. Sci. 51(5), 2273–2278 (2004)CrossRefGoogle Scholar
  7. 7.
    Demetriou, M.A.: Process estimation and moving source detection in 2-d diffusion processes by scheduling of sensor networks. In: American Control Conference, New York City, 11–13 July 2007Google Scholar
  8. 8.
    Brennan, S.M., Mielke, A.M., Torney, D.C.: Radioactive source detection by sensor networks. IEEE Trans. Nucl. Sci. 52(3), 813–819 (2005)CrossRefGoogle Scholar
  9. 9.
    Zhao, T., Nehorai, A.: Detecting and estimating biochemical dispersion of a moving source in a semi-infinite medium. IEEE Trans. Signal Process. 54(6), 2213–2225 (2006)CrossRefGoogle Scholar
  10. 10.
    Cochran, J., Ghods, N., Krstic, M.: 3d nonholonomic source seeking without position measurement. In: American Control Conference, Seattle, Washington, 11–13 June 2008Google Scholar
  11. 11.
    Cochran, J., Kelly, S.D., Xiong, H., Krstic, M.: Source seeking for a joukowski foil model of fish locomotion. In: American Control Conference, St. Louis, MO, 10–12 June 2009Google Scholar
  12. 12.
    ichi Azuma, S., Sakar, M.S., Pappas, G.J.: Stochastic source seeking by mobile robots. IEEE Trans. Autom. Control 57(9), 2308–2321 (2012)CrossRefGoogle Scholar
  13. 13.
    Han, J., Di, L., Coopmans, C., Chen, Y.: Fractional order controller for pitch loop control of a vtol uav. In: 2013 International Conference on Unmanned Aircraft Systems, Atlanta, GA, 28–31 May 2013Google Scholar
  14. 14.
    Chao, H., Luo, Y., Di, L., Chen, Y.: Roll-channel fractional order controller design for a small fixed-wing unmanned aerial vehicle. IFAC Control Eng. Pract. 18(7), 761–772 (2010)Google Scholar
  15. 15.
    Di, L., Chao, H., Han, J., Chen, Y.: Cognitive multi-UAV formation flight: principle, low-cost UAV testbed, controller tuning and experiments. In: Proc. of 2011 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications, Washington DC, 28–31 Aug 2011Google Scholar
  16. 16.
    Wheeler, M., Schrick, B., Whitacre, W., Campbell, M., RolfRysdyk, Wise, R.: Cooperative tracking of moving targets by a team of autonomous UAVs. In: 25th Digital Avionics Systems Conference, Portland, OR, 15–19 Oct 2006Google Scholar
  17. 17.
    Han, J., Xu, Y., Di, L., Chen, Y.: Low-cost multi-UAV technologies for contour mapping of nuclear radiation field. J. Intell. Robot. Syst. 70(1–4), 401–410 (2013)Google Scholar
  18. 18.
    Zhu, S., Wang, D., Low, C.B.: Cooperative control of multiple UAVs for source seeking. J. Intell. Robot. Syst. 70(1–4), 293–301 (2013)CrossRefGoogle Scholar
  19. 19.
    Zhang, F., Leonard, N.E.: Cooperative filters and control for cooperative exploration. IEEE Trans. Autom. Control 55(3), 650–663 (2010)CrossRefMathSciNetGoogle Scholar
  20. 20.
    Jensen, A., Chen, Y.: Tracking tagged fish with swarming unmanned aerial vehicles using fractional order potential fields and kalman filtering. In: 2013 International Conference on Unmanned Aircraft Systems, Atlanta, GA, 28–31 May 2013Google Scholar
  21. 21.
    Zhu, S., Wang, D., Low, C.B.: Cooperative control of multiple uavs for moving source seeking. In: 2013 International Conference on Unmanned Aircraft Systems, Atlanta, GA, 28–31 May 2013Google Scholar
  22. 22.
    Han, J., Chen, Y.: Cooperative source seeking and contour mapping of a diffusive signal field by formations of multiple uavs. In: 2013 International Conference on Unmanned Aircraft Systems, Atlanta, GA, 28–31 May 2013Google Scholar
  23. 23.
    Moore, B.J., de Wit, C.C.: Source seeking via collaborative measurements by a circular formation of agents. In: American Control Conference, Marriott Waterfront, Baltimore, MD, 30 June–2 July 2010Google Scholar
  24. 24.
    Ren, W., Atkins, E.: Distributed multi-vehicle coordinated control via local information exchange. Int. J. Robust Nonlinear Control 17(10–11), 1002–1033 (2007)CrossRefMATHMathSciNetGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Department of Electrical and Computer EngineeringUtah State UniversityLoganUSA
  2. 2.College of Control Science and EngineeringShandong UniversityJinanChina
  3. 3.MESA Lab, School of EngineeringUniversity of California, MercedMercedUSA

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