PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Kalman-Bucy Filter Design for Multivariable Ship Motion Control

Autorzy
Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents a concept of Kalman-Bucy filter which can be used in the multivariable ship motion control system. The navigational system usually measures ship position coordinates and the ship head-ing, while the velocities are to be estimated using an available mathematical model of the ship. The designed Kalman-Bucy filter has been simulated on a computer model and implemented on the training ship to demon-strate the filtering properties.
Twórcy
autor
  • Gdynia Maritime University, Faculty of Marine Electrical Engineering, Department of Ship Automation, Poland
Bibliografia
  • [1] Balchen J.G., Jenssen N.A. & Saelid S. 1976. Dynamic positioning using Kalman filtering and optimal control theory. In IFAC/IFIP Symposium on Automation in Offshore Oil Field Operation:183-186. Bergen, Norway.
  • [2] Balchen, J. G., Jenssen, N. A. & Saelid, S. 1980a. Dynamic positioning of floating vessels based on Kalman filtering and optimal control, Proceedings of the 19th IEEE Conference on Decision and Control:852-864. New York.
  • [3] Balchen, J. G., Jenssen, N. A., Mathiasen, E. & Saelid, S. 1980b. A dynamic positioning system based on [4] Kalman fil-tering and optimal control, Modeling, Identification and Control, 1(3):135-163.
  • Brown, R.G. & Hwang, P.Y.C. 1997. Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises and Solutions. Third Edition. John Wiley & Sons, Inc.
  • [5] Clarke, D. 2003. The foundations of steering and maneouver-ing. Proceedings of the IFAC Conference Manoeuvering and Control Marine Crafts:10-25. Girona. Spain.
  • [6] Franklin, G.F., Powell, J.D. & Workman, M. 1998. Digital Control of Dynamic Systems. Third Edition. Addison Wesley Longman.
  • [7] Fung, P. & Grimble, M. 1983. Dynamic Ship Positioning Us-ing Self-Tuning Kalman Filter. IEEE Transactions on Au-tomatic Control, 28(3):339-349.
  • [8] Gierusz, W. 2001. Simulation model of the shiphandling training boat Blue Lady. Proceedings of Control Applications in Marine Systems. Glasgow. Scotland. UK.
  • [9] Gierusz, W. 2005. Synthesis of multivariable systems of precise ship motion control with the aid of selected resistant system design methods. Publishing House of Gdynia Maritime University. (in Polish).
  • [10] Kalman, R.E. 1960. A New Approach to Linear Filtering and Prediction Problems. Transactions of the ASME – Journal of Basic Engeenering. 82(D):35-45.
  • [11] Kalman, R.E. & Bucy R.S. 1961. New Results in Linear Filtering and Prediction Theory. Transactions of the ASME – Journal of Basic Engeenering. 83(D):95-108.
  • [12] Saelid, S., Jensen, N. A. & Balchen, J. G. 1983. Design and analysis of a dynamic positioning system based on Kalman filtering and optimal control, IEEE Transactions on Automatic Control, 28(3):331-339.
  • [13] Sorensen, A. J., Sagatun, S. I. & Fossen, T. I. 1996. Design of a Dynamic Position System Using Model-based Control., Control Engeenering Practice, 4(3):359-368.
  • [14] Strand, J. P., Sorensen, A. J. & Fossen, T. I. 1997. Modelling and control of thruster assisted position mooring systems for ships, Procedings of IFAC Manoeuvering and Control of Marine Craft (MCMC’97):160-165. Brijuni, Croatia.
  • [15] Tomera, M. 2010. Discrete Kalman filter design for multivariable ship motion control: experimental results with training ship. Joint Proceedings of Gdynia Maritime Academy & Hochschule Bremerhaven:26-34. Bremerhaven.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-17fce2c8-87fa-41b4-a527-8eee26bba11b
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.