CLC number: TP242
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2018-08-15
Cited: 0
Clicked: 7853
Bo Li, Yuan-xin Xu, Shuang-shuang Fan, Wen Xu. Underwater docking of an under-actuated autonomous underwater vehicle: system design and control implementation[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(8): 1024-1041.
@article{title="Underwater docking of an under-actuated autonomous underwater vehicle: system design and control implementation",
author="Bo Li, Yuan-xin Xu, Shuang-shuang Fan, Wen Xu",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="19",
number="8",
pages="1024-1041",
year="2018",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1700382"
}
%0 Journal Article
%T Underwater docking of an under-actuated autonomous underwater vehicle: system design and control implementation
%A Bo Li
%A Yuan-xin Xu
%A Shuang-shuang Fan
%A Wen Xu
%J Frontiers of Information Technology & Electronic Engineering
%V 19
%N 8
%P 1024-1041
%@ 2095-9184
%D 2018
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1700382
TY - JOUR
T1 - Underwater docking of an under-actuated autonomous underwater vehicle: system design and control implementation
A1 - Bo Li
A1 - Yuan-xin Xu
A1 - Shuang-shuang Fan
A1 - Wen Xu
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 19
IS - 8
SP - 1024
EP - 1041
%@ 2095-9184
Y1 - 2018
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1700382
Abstract: Underwater docking greatly facilitates and extends operation of an autonomous underwater vehicle (AUV) without the support of a surface vessel. Robust and accurate control is critically important for docking an AUV into a small underwater funnel- type dock station. In this paper, a docking system with an under-actuated AUV is presented, with special attention paid to control algorithm design and implementation. For an under-actuated AUV, the cross-track error can be controlled only via vehicle heading modulation, so both the cross-track error and heading error have to be constrained to achieve successful docking operations, while the control problem can be even more complicated in practical scenarios with the presence of unknown ocean currents. To cope with the above issues, a control scheme of a three-hierarchy structure of control loops is developed, which has been embedded with online current estimator/compensator and effective control parameter tuning. The current estimator can evaluate both horizontal and vertical current velocity components, based only on the measurement of AUV’s velocity relative to the ground; in contrast, most existing methods use the measurements of both AUV’s velocities respectively relative to the ground and the water column. In addition to numerical simulation, the proposed docking scheme is fully implemented in a prototype AUV using MOOS-IvP architecture. Simulation results show that the current estimator/compensator works well even in the presence of lateral current disturbance. Finally, a series of sea trials are conducted to validate the current estimator/compensator and the whole docking system. The sea trial results show that our control methods can drive the AUV into the dock station effectively and robustly.
[1]Allen B, Austin T, Forrester N, et al., 2006. Autonomous docking demonstrations with enhanced REMUS technology. OCEANS, p.1-6.
[2]Baumgartner MF, Stafford KM, Winsor P, et al., 2014. Glider- based passive acoustic monitoring in the Arctic. Mar Technol Soc J, 48(5):40-51.
[3]Borgogna G, Lamberti T, Massardo AF, 2015. Innovative power system for autonomous underwater vehicle. OCEANS, p.1-8.
[4]Bradley AM, Feezor MD, Singh H, et al., 2001. Power systems for autonomous underwater vehicles. IEEE J Ocean Eng, 26(4):526-538.
[5]Chen YH, Yang CJ, Li DJ, et al., 2012a. Design and application of a junction box for cabled ocean observatories. Mar Technol Soc J, 46(3):50-63.
[6]Chen YH, Yang CJ, Li DJ, et al., 2012b. Development of a direct current power system for a multi-node cabled ocean observatory system. J Zhejiang Univ-Sci C (Comput & Electron), 13(8):613-623.
[7]Choyekh M, Kato N, Short T, et al., 2015. Vertical water column survey in the Gulf of Mexico using autonomous underwater vehicle SOTAB-I. Mar Technol Soc J, 49(3): 88-101.
[8]Cowen S, Briest S, Dombrowski J, 1997. Underwater docking of autonomous undersea vehicles using optical terminal guidance. MTS/IEEE Conf Proc, p.1143-1147.
[9]Curtin TB, Bellingham JG, Catipovic J, et al., 1993. Autonomous oceanographic sampling networks. Oceanography, 6(3):86-94.
[10]Fossen TI, 1994. Guidance and Control of Ocean Vehicles. John Wiley & Sons Inc., New York, USA, p.89-90.
[11]Kilgour MJ, Auster PJ, Packer D, et al., 2014. Use of AUVs to inform management of deep-sea corals. Mar Technol Soc J, 48(1):21-27.
[12]Li B, Xu YX, Liu CZ, et al., 2014. Simulation and preliminary experimental results on S-surface control of an autonomous underwater vehicle based on MOOS-IvP. OCEANS, p.1-6.
[13]Li B, Xu YX, Liu CZ, et al., 2015. Terminal navigation and control for docking an underactuated Autonomous Underwater Vehicle. Proc IEEE Int Conf on Cyber Technology in Automation, Control, and Intelligent Systems, p.25-30.
[14]Li DJ, Chen YH, Shi JG, et al., 2015. Autonomous Underwater Vehicle docking system for cabled ocean observatory network. Ocean Eng, 109:127-134.
[15]Li ZS, Li DJ, Lin L, et al., 2010. Design considerations for electromagnetic couplers in contactless power transmission systems for deep-sea applications. J Zhejiang Univ- Sci C (Comput & Electron), 11(10):824-834.
[16]Ludvigsen M, Johnsen G, Sørensen AJ, et al., 2014. Scientific operations combining ROV and AUV in the Trondheim Fjord. Mar Technol Soc J, 48(2):59-71.
[17]McEwen R S, Hobson B W, McBride L, et al., 2008. Docking control system for a 54-cm-diameter (21-in) AUV. IEEE J Ocean Eng, 33(4):550-562.
[18]Newman P M, 2008. MOOS—Mission Orientated Operating Suite. Technical Report, 2299(08), Massachusetts Institute of Technology.
[19]Park JY, Jun BH, Kim K, et al., 2009. Improvement of vision guided underwater docking for small AUV ISiMI. OCEANS, p.1-5.
[20]Park JY, Jun BH, Lee PM, et al., 2011a. Docking problem and guidance laws considering drift for an underactuated AUV. OCEANS, p.1-7.
[21]Park JY, Jun BH, Lee PM, et al., 2011b. Modified linear terminal guidance for docking and a time-varying ocean current observer. Proc IEEE Symp on Underwater Technology (UT) and Workshop on Scientific Use of Submarine Cables and Related Technologies, p.1-6.
[22]Peng SL, Yang CJ, Fan SS, et al., 2014. Hybrid underwater glider for underwater docking: Modeling and performance evaluation. Mar Technol Soc J, 48(6):112-124.
[23]Refsnes JE, Pettersen KY, Sørensen AJ, 2006. Control of slender body underactuated AUVs with current estimation. Proc 45th IEEE Conf on Decision and Control, p.43-50.
[24]Sato Y, Maki T, Kume A, et al., 2014. Path replanning method for an AUV in natural hydrothermal vent fields: Toward 3D imaging of a hydrothermal chimney. Mar Technol Soc J, 48(3):104-114.
[25]Shi JG, Li DJ, Yang CJ, 2014. Design and analysis of an underwater inductive coupling power transfer system for autonomous underwater vehicle docking applications. J Zhejiang Univ-Sci C (Comput & Electron), 15(1):51-62.
[26]Shi JG, Li DJ, Yang CJ, et al., 2015. Impact analysis during docking process of autonomous underwater vehicle. J Zhejiang Univ (Eng Sci), 49(3):497-504 (in Chinese).
[27]Singh H, Bellingham JG, Hover F, et al., 2001. Docking for an autonomous ocean sampling network. IEEE J Ocean Eng, 26(4):498-514.
[28]Teo K, An E, Beaujean PPJ, 2012. A robust fuzzy autonomous underwater vehicle (AUV) docking approach for unknown current disturbances. IEEE J Ocean Eng, 37(2): 143-155.
[29]Teo K, Goh B, Chai O K, 2015. Fuzzy docking guidance using augmented navigation system on an AUV. IEEE J Ocean Eng, 40(2):349-361.
[30]Xiang XB, Yu CY, Zhang Q, et al., 2016. Path-following control of an AUV: fully actuated versus under-actuated configuration. Mar Technol Soc J, 50(1):34-47.
[31]Xie YC, Huang H, Hu Y, et al., 2016. Applications of advanced control methods in spacecrafts: progress, challenges, and future prospects. Front Inform Technol Electron Eng, 17(9):841-861.
[32]Zhang M, Xu YX, Li B, et al., 2014. A modular autonomous underwater vehicle for environmental sampling: system design and preliminary experimental results. OCEANS, p.1-5.
[33]Zhang M, Xu W, Xu YX, 2016. Inversion of the sound speed with radiated noise of an autonomous underwater vehicle in shallow water waveguides. IEEE J Ocean Eng, 41(1): 204-216.
[34]Zhou JJ, Tang ZD, Zhang HH, et al., 2013. Spatial path following for AUVs using adaptive neural network controllers. Math Prob Eng, 2013:749689.
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