Please use this identifier to cite or link to this item:
Title: Dynamic load positioning for subsea installation via adaptive neural control
Authors: How, B.V.E. 
Ge, S.S. 
Choo, Y.S. 
Keywords: Adaptive control
Function approximation
Subsea installation
Underwater positioning
Issue Date: Apr-2010
Citation: How, B.V.E., Ge, S.S., Choo, Y.S. (2010-04). Dynamic load positioning for subsea installation via adaptive neural control. IEEE Journal of Oceanic Engineering 35 (2) : 366-375. ScholarBank@NUS Repository.
Abstract: In this paper, positioning control is investigated for the installation of subsea systems, with attached thrusters, under time-varying irrotational ocean current. Backstepping in combination with adaptive feedback approximation techniques is employed in the design of the control, with the option of high-gain observer for output feedback control. The stability of the design is demonstrated through Lyapunov analysis where semiglobal uniform boundedness of the closed-loop signals is guaranteed. The proposed adaptive neural control is able to capture the dominant dynamic behaviors without exact information on the hydrodynamic coefficients of the structure and current measurements. Comparative simulations with linear proportional derivative (PD), PD with adaptive term, and model-based controls are carried out. The proposed technique is found to be effective and robust and reduces tracking error of the subsea module. © 2010 IEEE.
Source Title: IEEE Journal of Oceanic Engineering
ISSN: 03649059
DOI: 10.1109/JOE.2010.2041261
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.