Parametric identification and sensitivity analysis for Autonomous Underwater Vehicles in diving plane

Journal of Hydrodynamics

Volumn 24, Issue 5, 2012, Pages 744-751

  Xu, Feng ^a   Zou, Zao Jian ^a,b   Yin, Jian Chuan ^a   Cao, Jian ^c  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b Shanghai Jiao Tong University   (China)

^c HARBIN ENGINEERING UNIVERSITY   (China)

Author keywords

Autonomous Underwater Vehicles (AUVs); parametric identification; sensitivity analysis; support vector machine

Indexed keywords

COUPLING PERFORMANCE; ESTIMATION RESULTS; HYDRODYNAMIC DERIVATIVES; IDENTIFICATION METHOD; IDENTIFIED PARAMETER; MANEUVERING MOTION; MOTION PARAMETERS; MOTION SIMULATIONS; PARAMETRIC IDENTIFICATION; PITCH MOTION; STRONGLY NONLINEAR;

AUTONOMOUS UNDERWATER VEHICLES; COMPUTER SIMULATION; EQUATIONS OF MOTION; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; SENSITIVITY ANALYSIS; SUPPORT VECTOR MACHINES;

PARAMETER ESTIMATION;

EID: 84868596116     PISSN: 10016058     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1001-6058(11)60299-0     Document Type: Article

References (18)

1. PLUEDDEMANN A. J., PACKARD G. and LORD J. et al. Observing arctic coastal hydrography using the REMUS AUV[C]. Autonomous Underwater Vehicles, AUV 2008, IEEE/OES. Massachusetts, USA, 2008.
2. LIANG X, PANG Y. J. and WAN L. et al. Dynamic modelling and motion control for underwater vehicles with fins[C]. Underwater Vehicles 2008. Vienna, Austria, 2008.
3. P RIDAO, A. TIANO, A. EL-FAKDI et al. On the identification of non-linear models of unmanned under-water vehicles[J] Control Engineering Practice 12 12 2004 1483 1499
4. Jian-cheng LIU, Xue-min LIU, Yu-ru XU Application of maximum likelihood to identification of under-water vehicle[J] Journal of Harbin Engineering University 22 5 2001 1 4 (in Chinese).
5. A TIANO, R. SUTTON, A. LOZOWICHI et al. Observer Kalman filter identification of an autonomous underwater vehicle[J] Control Engineering Practice 15 6 2007 727 739
6. W.J. Van De Ven PEPIJN, T.R. JOHANSEN, A.J. SORENSEN et al. Neural network augmented identification of underwater vehicle models[J] Control Engineering Practice 15 6 2007 715 725
7. V.N. VAPNIK Statistical learning theory[M] 1998 John Wiley and Sons New York
8. W.L. LUO, Z.J. ZOU Parametric identification of ship maneuvering models by using support vector machines[J] Journal of Ship Research 53 1 2009 19 30
9. Xin-guang ZHANG, Zao-jian ZOU Identification of Abkowitz model for ship manoeuvring motion using ε-support vector regression[J] Journal of Hydrodynamics 23 3 2011 353 360
10. T LENHART, K. ECKHARDT, N. FOHRER et al. Comparision of two different approaches of sensitivity analysis[J] Physics and Chemistry of the Earth 27 9-10 2002 645 654
11. K.P. RHEE, K. KIM A new sea trial method for estimating hydrodynamic derivatives[J] Ship and Ocean Technology 3 3 1999 25 44
12. Ya-jie TIAN, Xin-qian BIAN Identification of hydrodynamic parameters of AUV with the total least squares method[J] Control Theory and Applications 25 2 2006 4 7 (in Chinese).
13. T.I. FOSSEN Guidance and control of underwater vehicles[M] 1994 John Wiley and Sons New York
14. Ye LI, Jian-cheng LIU, Ming-xue SHEN Dynamics model of underwater robot motion control in 6 degrees of freedom[J] Journal of Harbin Institute of Technology 12 4 2005 456 459
15. Bo WANG, Lei WAN, Yu-ru XU et al. Modeling and simulation of a mini AUV in spatial motion[J] Journal of Marine Science and Application 8 1 2009 7 12
16. S.K. BHATTACHARYYA, M.R. HADDARA Parametric identification for nonlinear ship maneuvering[J] Journal of Ship Research 50 3 2006 197 207
17. W.Y. HWANG Cancellation effect and parameter identifiability of ship steering dynamics[J] International Shipbuilding Progress 26 332 1982 90 120
18. PEREZ T., BLANKE M. Mathematical ship modeling for control applications[R]. Technical Report, Newcastle, Australia: The University of Newcastle, 2002.