Design and control of underwater hybrid vehicle capable of performing numerous tasks
This paper is about Ocean Strider; an Underwater Hybrid Vehicle that is modified with hybrid (manual and autonomous) control system. The aims concerning this Underwater Hybrid Vehicle are to be competent to operate underwater by using remote control via operator and seek out the user interested objects, and in case of autonomously to be smart, to visually follow and manage a secured position comparable to a motionless target, and to visually follow and move behind a moving target and avoid the hindrances for reliable navigation. Vision is a fundamental root that promotes the underwater robot to execute various tasks autonomously. Ocean Strider is intelligent to explicitly identify and locate objects by specifying from distinct color codes and dimension of the objects and respond accordingly. Multiple experiments have been conducted in the laboratory the robot successfully operates manually and grasp the objects underwater, and the robot can locate and track the objects autonomously, secure a fixed distance to the fixed object and travel onward with the object as it moves.
Stenovec, G. (1985): Systems overview of unmanned, untethered submersibles, Proceedings of 4th international symposium on unmanned untethered submersible technology, AMETEK, EI Cajon, CA, USA.
Christi, R. (2014): In a partially known navigation and localization environment, Proceedings of IEEE Symposium on Autonomous Underwater Vehicle Technology (AUV94), Monterey, CA, USA.
Hansen, R.E., Saebo, T.O., Callow, H.J., & Hagen, P.E. (2010): Interferometric synthetic aperture sonar in pipeline inspection, Oceans10 IEEE, Vol. 51, No. 6, pp.1-10, Sydney.
Shun, C., Daniel, W.C. (2016): Consensus control for multiple AUVs under imperfect information caused by communication faults, Vol. 370, pp. 565-577, Hong Kong.
Christ, R.D., Sr, R.L. (2007): ROV Design, the ROV Manual, pp. 11-45, Louisiana.
Balasuriya, A., Ura, T. ( 2002): Vision-based underwater cable detection and following using AUVs, Proceedings of the MTS/IEEE OCEANS, Vol. 3, pp. 1582–1587, USA.
Kuang, H.C. (2015): Design theory and methods using CAD/CAE, Computer aided engineering design series, pp. 407-447, USA.
Zhiqiang, C., Hongbin, D., Xibin, F. (2018): Investigation on the hot melting temperature filed simulation of HDPE water supply pipeline in gymnasium pool, Physics, Vol. 9, pp. 1050-1056, China.
Shuxiang, G., Yanlin, H., Liwei, S. (2018): Modelling and experimental evaluation of an improved amphibious robot with compact structure, Robotics and computer-integrated manufacturing, Vol. 51, pp.37-52, China.
Shengwen, X., Lei, W., Xuefeng, W. (2015): local optimization of thruster configuration based on a synthesized positioning capability criterion, International journal of naval architecture and ocean engineering, Vol. 7, No.6, pp. 1044-1055, China.
Qi, D., Feng, J., Liu, Hu.J., et al.(2015): Stability Control of Propeller Autonomous Underwater Vehicle Based on Combined Sections Method, Polish Maritime Research, Vol. 22, No. 22, pp. 157-162, China.
Wu, J., Chen, S. & Liu, D. Sci. (2008): Control and power electronics technology in renewable energy, Science in China Series E: Technological Sciences, Vol. 51, pp. 702, China.
Ps1/ps2., (n.d.), SpringerReference, Springerreference_36491.
Habib, A., Gianluca, A., Andrea, C., et al. (2015): Navigation, guidance and Control of underwater vehicles within the widely scalable mobile underwater sonar technology, IFAC, Vol. 48, pp. 189-193, France.
Chai, X., Gao, F., Qi, C., et al. (2017): Obstacle avoidance for a hexapod robot in unknown environment, Science China Technological, Science, Vol. 60, pp. 818-831, China.
Lee, D., Kim, G., Kim, D., et al. (2002): Vision based object detection and tracking autonomous navigation of underwater robots, Ocean engineering, Vol. 48, pp. 59-68, China.
Cruz, N.A., Matos, A.C., Almeida, R.M., Ferreira, B.M., Abreu, N. (2011): A hybrid AUV/ROV for dam inspection, Proceedings of Oceans11 MTS/IEEE Kona, pp. 1-7, USA.
Conte, G., Zanoli, S.M., Scaradozzi, D. (2002): An automatic guidance system for a small work class rov, IFAC proceedings Vol. 35 pp. 67-72, Italy.
Chen, H.H., Chunag, N.W., Wang, C.C. (2015). Vision based line detection for underwater inspection of breakwater construction using a rov, Ocean engineering, Vol.109, pp. 20-33, China.
Foresti, G. (2001): Visual inspection of sea bottom structures by an autonomous underwater vehicle, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), Vol. 31, No. 5, pp. 691-705, Italy.