Browse > Article
http://dx.doi.org/10.14372/IEMEK.2014.9.3.157

The Effectiveness of MOOS-IvP based Design of Control System for Unmanned Underwater Vehicles  

Kim, Jiyeon (Kyungpook National University)
Lee, Dongik (Kyungpook National University)
Publication Information
Abstract
This paper demonstrates the benefit of using MOOS-IvP in the development of control system for Unmanned Underwater Vehicles(UUV). The demand for autonomy in UUVs has significantly increased due to the complexity in missions to be performed. Furthermore, the increased number of sensors and actuators that are interconnected through a network has introduced a need for a middleware platform for UUVs. In this context, MOOS-IvP, which is an open source software architecture, has been developed by several researchers from MIT, Oxford University, and NUWC. The MOOS software is a communication middleware based on the publish-subscribe architecture allowing each application to communicate through a MOOS database. The IvP Helm, which is one of the MOOS modules, publishes vehicle commands using multi-objective optimization in order to implement autonomous decision making. This paper explores the benefit of MOOS-IvP in the development of control software for UUVs by using a case study with an auto depth control system based on self-organizing fuzzy logic control. The simulation results show that the design and verification of UUV control software based on MOOS-IvP can be carried out quickly and efficiently thanks to the reuse of source codes, modular-based architecture, and the high level of scalability.
Keywords
Unmanned underwater vehicle(UUV); MOOS-IvP; Depth control; MOOS application;
Citations & Related Records
연도 인용수 순위
  • Reference
1 D.A. Linkens, S.B. Hasnain, "Self- organising fuzzy logic control and application to muscle relaxant anaesthesia," IEE Proceedings-D, Vol. 138, No. 3, pp.274-284, 1991.   DOI   ScienceOn
2 C. Lin, C. Hsu, "Self-learining fuzzy sliding-mode control for antilock braking systems," IEEE Transactions on Control Systems Technology, Vol. 11, No. 2, pp.273-278, 2003.   DOI   ScienceOn
3 N. Khaehintung, C. Kangsajian, P. Sirisuk, and A. Kunakorn, "Grid-connected photovoltaic system with maximum power point tracking using self-organizing fuzzy logic controller," Power Electronics and Drives Systems, pp.517-521, 2005.
4 S. Yasunobu, T. Hasegawa, "Evaluation of an automatic container crane operation system based on predictive fuzzy control," Control Theory and Advanced Technology, Vol. 2, No. 3, pp.419-432, 1986.
5 M.R. Benjamin, H. Schmidt, P.M. Newman, J.J. Leonard, "An overview of MOOS- IvP and a users guide to the IvP Helm," MIT CSAIL Technical Report, 2013.
6 D. Lee, D. Kwak, J. Choi, "An intelligent control system design for autonomous underwater vehicle," Journal of Control, Automation and System Engineering, Vol. 3, No. 3, pp.227-237, 1997 (in Korean).   과학기술학회마을
7 M.R. Benjamin, "The interval programming model for multi-objective decision making," Technical Report AIM-2004-021, Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, 2004.
8 M.C.M. Teixeira and S. H. Zak, "Stabilizing contoller design for uncertain nonlinear systems using fuzzy models," IEEE Transactions on Fuzzy Systems, Vol. 7, No. 2, pp.133-142, 1999.   DOI   ScienceOn
9 T. Tagaki, M. Sugeno, "Fuzzy identification of systems and its applications to modeling and control," IEEE Transactions on Systems, Man, and Cybernetics Society, Vol. 15, No. 1, pp.116-132, 1985.
10 T.J. Procyk, E.H. Mamdani, "A linguistic self-organising process controller," Automatica, Vol. 15, pp.15-30, 1979.   DOI   ScienceOn
11 J. Shieh, M. Fu, S. Huang, M. Kao, "Comparison of the applicability of rulebased and self-organizing fuzzy logic controllers for sedation control of intracranial pressure pattern in a neurosurgical intensive care unit," IEEE Transaction on Biomedical Engineering, Vol. 53, No. 8, pp.1700-1705, 2006.   DOI   ScienceOn
12 H. Ying, F. Lin, R.D. MacArthur, J.A. Cohn, D.C. Barth-Jones, H. Ye, L.R. Crane, "A self- learning fuzzy discrete event system for HIV/AIDS treatment regimen selection," IEEE Transactions on Systems, Man, and Cybernetics, Vol. 37, No. 4, pp.966-979, 2007.   DOI
13 X.Q. Chen, Y.Q. Chen, J.G. Chase, Mobile Robots - State of the Art in Land, Sea, and Collaborative Missions, I-Tech Education and Publishing, Austria, 2009.
14 Y. Song, S. Byun, B. Choi, H. Kim, J. Seo, D. Kim, "Architecture design of ASW UUV simulator based on MOOS-IVP," Proceedings of Fall Workshop on Korea Unmanned Underwater Vehicle, pp.12-15, 2012 (in Korean).
15 M.R. Benjamin, H. Schmidt, P.M. Newman, J.J. Leonard, "Nested autonomy for unmanned marine vehicles with MOOS-IvP," Journal of Field Robotics, Vol. 27, No. 6, pp.834-875, 2010.   DOI   ScienceOn