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Design and Implementation of a Range-Based Formation Controller for Marine Robots

  • Jorge M. Soares
  • A. Pedro Aguiar
  • António M. Pascoal
  • Alcherio Martinoli
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 252)

Abstract

There is considerable worldwide interest in the use of groups of autonomous marine vehicles to carry our challenging mission scenarios, of which marine habitat mapping of complex, non-structured environments is a representative example. Relative positioning and formation control becomes mandatory in many of the missions envisioned, which require the concerted operation of multiple marine vehicles carrying distinct, yet complementary sensor suites. However, the constraints placed by the underwater medium make it hard to both communicate and localise the vehicles, even in relation to each other, let alone maintain them in a formation. As a contribution to overcoming some of these problems, this paper deals with the problem of keeping an autonomous marine vehicle in a moving triangular formation with respect to two leader vehicles. Simple feedback laws are derived to drive a controlled vehicle to its intended position in the formation using acoustic ranges obtained to the leading vehicles with no knowledge of the formation path. The paper discusses the implementation of this solution in the MEDUSA class of autonomous marine vehicles operated by IST and describes the results of trials with these vehicles exchanging information and ranges over an acoustic network.

Keywords

Formation Control Underwater Vehicle Triangular Formation Mode Error Leader Vehicle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Soares, J.M., Aguiar, A.P., Pascoal, A.M.: Triangular formation control using range measurements: an application to marine robotic vehicles. In: IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles (NGCUV 2012), Porto, Portugal (2012)Google Scholar
  2. 2.
    Soares, J.M., Aguiar, A.P., Pascoal, A., Martinoli, A.: Joint ASV/AUV Range-Based Formation Control: Theory and Experimental Results. In: 2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany (2013)Google Scholar
  3. 3.
    Desai, J., Ostrowski, J., Kumar, V.: Modeling and control of formations of nonholonomic mobile robots. IEEE Transactions on Robotics and Automation 17(6), 905–908 (2001)CrossRefGoogle Scholar
  4. 4.
    Falconi, R., Gowal, S., Martinoli, A.: Graph-based distributed control of non-holonomic vehicles endowed with local positioning information engaged in escorting missions. In: 2010 IEEE International Conference on Robotics and Automation, Anchorage, Alaska, USA, pp. 3207–3214. IEEE (May 2010)Google Scholar
  5. 5.
    Cao, M., Morse, A.S.: Station keeping in the plane with range-only measurements. In: 2007 American Control Conference, pp. 5419–5424. IEEE, New York (2007)CrossRefGoogle Scholar
  6. 6.
    Oh, K.K., Ahn, H.S.: Formation control of mobile agents based on inter-agent distance dynamics. Automatica 47(10), 2306–2312 (2011)MathSciNetCrossRefzbMATHGoogle Scholar
  7. 7.
    Bishop, A.N.: Distributed bearing-only formation control with four agents and a weak control law. In: 2011 9th IEEE International Conference on Control and Automation (ICCA), pp. 30–35. IEEE, Santiago (2011)CrossRefGoogle Scholar
  8. 8.
    Bishop, A.N.: A Very Relaxed Control Law for Bearing-Only Triangular Formation Control. In: Proceedings of the 18th IFAC World Congress, Milano, Italy, pp. 5991–5998 (August 2011)Google Scholar
  9. 9.
    Basiri, M., Bishop, A.N., Jensfelt, P.: Distributed control of triangular formations with angle-only constraints. Systems & Control Letters 59(2), 147–154 (2010)MathSciNetCrossRefzbMATHGoogle Scholar
  10. 10.
    Cao, M., Yu, C., Anderson, B.D.O.: Formation control using range-only measurements. Automatica 47(4), 776–781 (2011)MathSciNetCrossRefzbMATHGoogle Scholar
  11. 11.
    Yang, H., Zhang, F.: Geometric formation control for autonomous underwater vehicles. In: 2010 IEEE International Conference on Robotics and Automation, Anchorage, Alaska, USA, pp. 4288–4293. IEEE (May 2010)Google Scholar
  12. 12.
    Ghabcheloo, R., Aguiar, A.P., Pascoal, A.M., Silvestre, C., Kaminer, I., Hespanha, J.: Coordinated path-following in the presence of communication losses and time delays. SIAM Journal on Control and Optimization 48(1), 234 (2009)MathSciNetCrossRefzbMATHGoogle Scholar
  13. 13.
    Xiang, X., Jouvencel, B., Parodi, O.: Coordinated Formation Control of Multiple Autonomous Underwater Vehicles for Pipeline Inspection. International Journal of Advanced Robotic Systems 7(1), 1 (2010)CrossRefGoogle Scholar
  14. 14.
    Leonard, N.E., Paley, D.A., Lekien, F., Sepulchre, R., Fratantoni, D.M., Davis, R.E.: Collective Motion, Sensor Networks, and Ocean Sampling. Proceedings of the IEEE 95(1), 48–74 (2007)CrossRefGoogle Scholar
  15. 15.
    Ribeiro, J.: Motion Control of Single and Multiple Autonomous Marine Vehicles. Master’s thesis, Instituto Superior Técnico - Technical University of Lisbon (2011)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jorge M. Soares
    • 1
    • 3
  • A. Pedro Aguiar
    • 1
    • 2
  • António M. Pascoal
    • 2
  • Alcherio Martinoli
    • 3
  1. 1.Laboratory of Robotics and Systems in Engineering and Science, Instituto Superior TécnicoTechnical University of LisbonLisboaPortugal
  2. 2.Department of Electrical and Computer Engineering, Faculty of EngineeringUniversity of PortoPortoPortugal
  3. 3.Distributed Intelligent Systems and Algorithms Laboratory, School of Architecture, Civil and Environmental EngineeringÉcole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland

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