1. bookVolume 25 (2015): Issue 4 (December 2015)
    Special issue: Complex Problems in High-Performance Computing Systems, Editors: Mauro Iacono, Joanna Kołodziej
Journal Details
License
Format
Journal
First Published
05 Apr 2007
Publication timeframe
4 times per year
Languages
English
access type Open Access

A Comparative and Experimental Study on Gradient and Genetic Optimization Algorithms for Parameter Identification of Linear MIMO Models of a Drilling Vessel

Published Online: 30 Dec 2015
Page range: 877 - 893
Received: 06 Oct 2014
Journal Details
License
Format
Journal
First Published
05 Apr 2007
Publication timeframe
4 times per year
Languages
English

The paper presents algorithms for parameter identification of linear vessel models being in force for the current operating point of a ship. Advantages and disadvantages of gradient and genetic algorithms in identifying the model parameters are discussed. The study is supported by presentation of identification results for a nonlinear model of a drilling vessel.

Keywords

Al Seyab, R. and Cao, Y. (2008). Nonlinear system identification for predictive control using continuous time recurrent neural networks and automatic differentiation, Journal of Process Control18(6): 568–581.Search in Google Scholar

Anil Ari Guner, H., Yuksel, Y. and Cevik, E.O. (2013). Estimation of wave parameters based on nearshore wind-wave correlations, Ocean Engineering63: 52–62.Search in Google Scholar

Aström, K. and Källström, C. (1976). Identification of ship steering dynamics, Automatica12(1): 9–22.Search in Google Scholar

Aström, K. and Källström, C. (1981). Experiences of system identification applied to ship steering, Automatica17(1): 187–198.Search in Google Scholar

Bańka, S. (2007). Multivariable Control Systems: A Polynomial Approach, Monographs of the Committee of Automation and Robotics, Polish Academy of Sciences, Szczecin University of Technology Press, Szczecin, (in Polish).Search in Google Scholar

Bańka, S., Dworak, P., Brasel, M. and Latawiec, K.J. (2010). Switched structure of linear MIMO controllers for positioning of a drillship on a sea surface, Proceedings of the 15th International Conference on Methods and Models in Automation and Robotics, MMAR 2010, Międzyzdroje, Poland, pp. 249–254.Search in Google Scholar

Bańka, S., Dworak, P. and Jaroszewski, K. (2013). Linear adaptive structure for control of a nonlinear MIMO dynamic plant, International Journal of Applied Mathematics and Computer Science23(1): 47–63, DOI: 10.2478/amcs-2013-0005.Search in Google Scholar

Barth, S. and Eecen, P. (2006). Description of the relation of wind, wave and current characteristics at the offshore wind farm Egmond aan Zee, Technical report, NoordzeeWind, IJmuiden.Search in Google Scholar

Billings, S. (2013). Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-temporal Domains, Wiley, Chichester.Search in Google Scholar

Bredmose, H., Larsen, S., Matha, D., Rettenmeier, A., Marino, E. and Seattran, L. (2012). Collation of offshore wind-wave dynamics, Technical report, Marine Renewables Infrastructure Network.Search in Google Scholar

Chen, W., Yan, K., Shi, G. and Lu, H. (2008). A new swarm intelligence and parameter identification of hydrodynamic forces acting on axis-symmetric body exiting water obliquely, Journal of Ship Mechanics12(2): 204–210.Search in Google Scholar

Dai, Y., Li, Y. and Song, J. (2012). Parameter identification of ship lateral motions using evolution particle swarm optimization, Proceedings of the 5th International Joint Conference on Computational Sciences and Optimization, CSO 2012, Harbin, China, pp. 797–801.Search in Google Scholar

Dai, Y., Zhao, X. and Liu, L. (2010). Parameter identification of ship longitudinal motions using continuous ant colony algorithm with period searching, Journal of Ship Mechanics14(8): 872–878.Search in Google Scholar

Dworak, P. and Brasel, M. (2013). Improving quality of regulation of a nonlinear MIMO dynamic plant, Elektronika Ir Elektrotechnika19(7): 3–6.Search in Google Scholar

Fossen, T.I. (1994). Guidance and Control of Ocean Vehicles, John Wiley and Sons, Chichester.Search in Google Scholar

Fossen, T.I. (2011). Handbook of Marine Craft Hydrodynamics and Motion Control, John Wiley and Sons, Chichester.Search in Google Scholar

Herrero, E. and González, F.V. (2012). Two-step identification of non-linear manoeuvring models of marine vessels, Ocean Engineering53: 72–82.Search in Google Scholar

Kondo, J., Fujinawa, Y. and Naito, G. (1972). Wave-induced wind fluctuation over the sea, Journal of Fluid Mechanics51(4): 751–771.Search in Google Scholar

Lewis, E.V. (1989). Principles of Naval Architecture, Volume III: Motions in Waves and Controllability, Society of Naval Architects and Marine Engineers, Alexandria, VA.Search in Google Scholar

Ljung, L. (2001). System Identification. Theory for the User, Prentice-Hall, Englewood Cliffs, NJ.Search in Google Scholar

Mahfouz, A. and Haddara, M. (2003). Effect of the damping and excitation on the identification of the hydronamic parameters for an underwater robotic vehicle, Ocean Engineering30(8): 1005–1025.Search in Google Scholar

Mzyk, G. (2013). Nonparametric instrumental variables for identification of block-oriented systems, International Journal of Applied Mathematics and Computer Science23(3): 521–537, DOI: 10.2478/amcs-2013-0040.Search in Google Scholar

Nelles, O. (2001). Nonlinear System Identification, Springer-Verlag, Berlin/Heidelberg.Search in Google Scholar

Orjuela, R., Marx, B., Ragot, J. and Maquin, D. (2013). Nonlinear system identification using heterogeneous multiple models, International Journal of Applied Mathematics and Computer Science23(1): 103–115, DOI: 10.2478/amcs-2013-0009.Search in Google Scholar

Padilla, A. and Yuz, J. (2013). Continuous-time system identification of a ship on a river, Proceedings of the 52nd Annual Conference on Decision and Control, CDC 2013, Firenze, Italy, pp. 4553–4558.Search in Google Scholar

Revestido, E., Velasco, F., Zamanillo, I., Lopez, E. and Moyano, E. (2011). Parameter estimation of ship linear maneuvering models, Proceedings of IEEE OCEANS 2011, Santander, Spain, pp. 1–8.Search in Google Scholar

Skjetne, R., Smogeli, Ø. and Fossen, T. (2004). A nonlinear ship manoeuvering model: Identification and adaptive control with experiments for a model ship, Modeling, Identification and Control25(1): 3–27.Search in Google Scholar

Tran Khanh, T., Ouahsine, A., Naceur, H. and Wassifi, K.E. (2013). Assessment of ship manoeuvrability by using a coupling between a nonlinear transient manoeuvring model and mathematical programming techniques, Journal of Hydrodynamics B25(5): 788–804.Search in Google Scholar

Velasco, F., Herrero, E., Lopez, L. and Moyano, E. (2013). Identification for a heading autopilot of an autonomous in-scale fast ferry, IEEE Journal of Oceanic Engineering38(2): 263–274.Search in Google Scholar

Wang, Y., Meng, H., Liu, Z.-L. and Yu, R.-T. (2011). On-line of modeling ship manoeuvring motion by using least squares support vector machines, Proceedings of the IEEE 18th International Conference on Industrial Engineering and Engineering Management, Changchun, China, pp. 1712–1716.Search in Google Scholar

Wise, D.A. and English, J.W. (1975). Tank and wind tunnel tests for a drill-ship with dynamic position control, Offshore Technology Conference, Dallas, TX, USA, pp. 103–118.Search in Google Scholar

Yoon, H. and Rhee, K. (2003). Identification of hydrodynamic coefficients in ship maneuvering equations of motion by estimation-before-modeling technique, Ocean Engineering30(18): 2379–2404.Search in Google Scholar

Yoon, H., Son, N.S. and Lee, C.M. (2004). Estimation of roll related hydrodynamic coefficients through the free running model tests, Proceedings of IEEE TECHNO-OCEAN’04, Kobe, Japan, pp. 1086–1092.Search in Google Scholar

Yoon, H., Son, N. and Lee, G. (2007). Estimation of the roll hydrodynamic moment model of a ship by using the system identification method and the free running model test, IEEE Journal of Oceanic Engineering32(4): 798–806.Search in Google Scholar

Zhang, H.-G. and Zou, Z.-J. (2011). Identification of abkowitz model for ship manoeuvring motion using ε-support vector regression, Journal of Hydrodynamics B23(3): 353–360.Search in Google Scholar

Zhang, Z., Li, X., Yang, L. and Wu, G.Y. (2010). Parameter identification method for ship swaying motion differential equations, Proceedings of the 3rd International Joint Conference on Computational Science and Optimization, CSO 2010, Huangshan, Anhui, China, pp. 205–208.Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo