Abstract
The parallel processing based on the free running model test was adopted to predict the interaction force coefficients (flow straightening coefficient and wake fraction) of ship maneuvering. And the multi-population genetic algorithm (MPGA) based on real coding that can contemporarily process the data of free running model and simulation of ship maneuvering was applied to solve the problem. Accordingly the optimal individual was obtained using the method of genetic algorithm. The parallel processing of multi-population solved the prematurity in the identification for single population, meanwhile, the parallel processing of the data of ship maneuvering (turning motion and zigzag motion) is an attempt to solve the coefficient drift problem. In order to validate the method, the interaction force coefficients were verified by the procedure and these coefficients measured were compared with those ones identified. The maximum error is less than 5%, and the identification is an effective method.
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Sannomiya K, Sueyosh A, Arihama K. Effect on coefficient of maneuvering in difference of ship conditions [J]. Transactions of The West-Japan Society of Naval Architects, 2001, 22(101): 103–112.
Kijima K, Toshiyuki K, Yasuaki N, et al. On the maneuvering performance of ship with the parameter of loading condition [J]. Jour of The Soc of Naval Architects of Japan, 1990, 35(168): 141–148.
Kijima K, Nakira Y. On a study for influence of loading condition on a prediction of ship manoeuvrability [J]. Transactions of The West-Japan Society of Naval Architects, 1994, 32(89): 155–166.
Liu C G, Qiu Y M, YAO Zhen-qiu, et al. Application of genetic evolutive algorithm to the preliminary design of ship [J]. Journal of Shanghai Jiaotong University, 2000, 34(1): 41–45 (in Chinese).
Dejhalla R, Mrsa Z, Vukovic S. Application of genetic algorithm for ship hull form optimization [J]. International Shipbuilding Progress, 2001, 48(2): 117–133.
Lu C H, Lin Y, Ji Z S. Application of genetic algorithm in ship free floatation calculation [J]. Journal of Shanghai Jiaotong University, 2005, 39(5): 701–705 (in Chinese).
Liu X J, Huang G L. Interaction force coefficients estimation of ship maneuvering based on multi-population genetic algorithm [J]. Journal of Shanghai Jiaotong University (accepted), 2007.
Hwang W Y. Cancellation effect and parameter identifiability of ship steering dynamic [J]. ISP, 1982, 29(332): 90–102.
Viviani M, Depascale R, Sebastiani L, et al. Alternative methods for the identification of hydrodynamic coefficients from standard manoeuvres [C]// Proceedings of MARSIM’03. Kanazawa Japan: [s.n.], 2003: RC-5-1-9.
Yoon H K, Rhee K P. Identification of hydrodynamic coefficients in ship maneuvering equations of motion by Estimation-Before-Modeling technique [J]. Ocean Engineering, 2003, 45(30): 2379–2404.
Abkowitz M A. Measurement of hydrodynamic characteristics from ship maneuvering trials by system identification [J]. SNAME Transaction, 1980, 33(88): 283–318.
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Foundation item: the Knowledge-based Ship-design Hyper-integrated Platform (KSHIP) of Ministry of Education, China
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Liu, Xj., Huang, Gl. & Deng, Dh. Parallel processing based on ship maneuvering in identification of interaction force coefficients. J. Shanghai Jiaotong Univ. (Sci.) 13, 352–356 (2008). https://doi.org/10.1007/s12204-008-0352-9
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DOI: https://doi.org/10.1007/s12204-008-0352-9
Key words
- interaction force coefficient
- multi-population genetic algorithm (MPGA)
- parallel processing
- parameter identification