A Control Architecture for Mission Re-Planning and Plan Repair of AUV

Article Preview

Abstract:

This paper present a hybrid, hierarchical control architecture for mission re-planning and plan repair of autonomous underwater vehicle (AUV) navigating in dynamic and uncertain marine environment. The proposal carries out a component-oriented part-based control architecture structured in three parts: situation reasoning, re-planning trigger and hierarchical re-planning layer. Situation reasoning using the unstructured real-word information obtained by sorts of sensor detectes and recognizes uncertain event. According the event types and influence degree, the re-planning trigger decides the re-planning level. Hierarchical re-planning layer contains mission re-planning, task re-planning and behavior re-planning. Different re-planning level depends on the result of re-planning trigger. Preliminary versions of the architecture have been integrated and tested in a marine simulation environment.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

794-797

Citation:

Online since:

November 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Muhammad Nasiruddin Mahyuddin and Mohd Rizal Arshad, International Conference on Underwater System Technology: Theory and Applications (USYS08), November 2008, Bali, INDONESIA.

Google Scholar

[2] Donald P. Eickstedt and Scott R, Presented at theIEEE/MTS Oceans'09 Conference, Biloxi, MS.

Google Scholar

[3] Lei Zhang, Da-peng Jiang and Jin-xin Zhao in: Applied Mechanics and Materials, Vols. (411-414) 2013 pp: 1757-1761.

Google Scholar

[4] R. Arkin. Cambridge, MA: MIT Press, (1998).

Google Scholar

[5] Narcis Palomeras, Andres El-Fakdi, Marc Carreras, and Pere Ridao, in: IEEE JOURNAL OF OCEANIC ENGINEERING, VOL. 37, NO. 4, OCTOBER (2012).

DOI: 10.1109/joe.2012.2205638

Google Scholar

[6] Lili Yin, Rubo Zhang and Hengwen Gu, Intelligent Computing and Cybernetics, Vol. 5(2) (2012), pp: 226-238.

DOI: 10.1108/17563781211231552

Google Scholar