Identifying ship parameters with the aid of genetic algorithm

• Autorzy: Witkowska A. , Śmierzchalski R.
• Konferencja: Evolutionary Computation and Global Optimization 2008 / National Conference (11 ; 2-4.06.2008 ; Szymbark, Poland)
• Języki publikacji: EN

Abstrakty

EN

The article discusses the problem of identifying dynamic parameters of the Bech-Wagner model in such a way that the output characteristics of the model are close to those of a model ship bearing the shipyard symbol B-481. The identification has been carried out in the off-line mode using a genetic algorithm. The included results of simulation calculations, done using Matlab/Simulink, testify to correct operation, in terms of accuracy and rate, of the genetic algorithm.

Słowa kluczowe

EN

evolutionary algorithm; EA; genetic algorithm; Bech-Wagner model; ship; navigational parameters; control

PL

algorytm ewolucyjny; algorytm genetyczny; model Bech-Wagnera; statek; parametry nawigacyjne; sterowanie

• Wydawca: Oficyna Wydawnicza Politechniki Warszawskiej
• Czasopismo: Prace Naukowe Politechniki Warszawskiej. Elektronika
• Rocznik: 2008
• Tom: z. 165
• Strony: 245--252
• Opis fizyczny: Bibliogr. 8 poz., tab., rys., wykr.

Twórcy

autor

Witkowska A.

autor

Śmierzchalski R.

• Gdańsk University of Technology, Electrical and Control Engineering Faculty, ul. Narutowicza 11/12, 80-952 Gdańsk,

Bibliografia

• [1] J. Amerongen (1982). Adaptive steering of ship. A model referenee approach to improved manoeuvering and economical course keeping, PhD Thesis, Delft University of Technology, Netherlands.
• [2] Arendt R., (2006). Hierarchic hybrid models of the power system of a ship with definable structure. Publishing House of Gdańsk University of Technology, Monograph 78 (in Polish).
• [3] Astrom K.J., Wittenmark B., (1989). Adaptive Control, Addison Wesley, Reading MA.
• [4] J. Galbas (1988), Synthesis of a precise ship steering system with the aid of thrusters. PhD Thesis, Gdańsk (not published) (in Polish).
• [5] D.E. Goldberg (1989). Genetic algorithms in searehing, optimisation and machine learning, Reading, MA: Addison Wesley.
• [6] Lennon W.K., Passino K., (1999). Genetic Adaptive Identification and Control, Egeering Applications of Artificial Intelligence, Vol. 12.
• [7] Hidalgo J.L., Prieto M.J., Lanchares and F.Tirado B de Andres, S. Esteban and D. Rivera (1999). A Method for Model Parameter Identification Using Parallel Genetic Algorithms, Springer Berlin / Heidelberg, Volume 1697/1999.
• [8] Sóderstróm T., Stoica P. Identifying systems, PWN Scientific Publishers, Warsaw 1997, (in Polish).