Intelligent control algorithm for ship dynamic positioning
Ship motion in the sea is a complex nonlinear kinematics. The hydrodynamic coefficients of ship model are very difficult to accurately determine. Establishing accurate mathematical model of ship motion is difficult because of changing random factors in the marine environment. Aiming at seeking a met...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2014-12-01
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| Series: | Archives of Control Sciences |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/acsc.2014.24.issue-4/acsc-2014-0026/acsc-2014-0026.xml?format=INT |
| _version_ | 1831724415940820992 |
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| author | Meng Wang Sheng Li Hong Qing Miao Rong Bian Guang |
| author_facet | Meng Wang Sheng Li Hong Qing Miao Rong Bian Guang |
| author_sort | Meng Wang |
| collection | DOAJ |
| description | Ship motion in the sea is a complex nonlinear kinematics. The hydrodynamic coefficients of ship model are very difficult to accurately determine. Establishing accurate mathematical model of ship motion is difficult because of changing random factors in the marine environment. Aiming at seeking a method of control to realize ship positioning, intelligent control algorithms are adopt utilizing operator's experience. Fuzzy controller and the neural network controller are respectively designed. Through simulations and experiments, intelligent control algorithm can deal with the complex nonlinear motion, and has good robustness. The ship dynamic positioning system with neural network control has high positioning accuracy and performance. |
| first_indexed | 2024-12-21T04:20:24Z |
| format | Article |
| id | doaj.art-d212e4423127403b83b7e612b598c2e4 |
| institution | Directory Open Access Journal |
| issn | 2300-2611 |
| language | English |
| last_indexed | 2024-12-21T04:20:24Z |
| publishDate | 2014-12-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Control Sciences |
| spelling | doaj.art-d212e4423127403b83b7e612b598c2e42022-12-21T19:16:11ZengPolish Academy of SciencesArchives of Control Sciences2300-26112014-12-0124447949710.2478/acsc-2014-0026acsc-2014-0026Intelligent control algorithm for ship dynamic positioningMeng Wang0Sheng Li Hong1Qing Miao2Rong Bian Guang3Wuhan University of Technology, Mechanic and Electronic Engineering,Wuhan, China.Wuhan University of Technology, Mechanic and Electronic Engineering,Wuhan, China.Wuhan University of Technology, Mechanic and Electronic Engineering,Wuhan, China.Wuhan University of Technology, Mechanic and Electronic Engineering,Wuhan, China.Ship motion in the sea is a complex nonlinear kinematics. The hydrodynamic coefficients of ship model are very difficult to accurately determine. Establishing accurate mathematical model of ship motion is difficult because of changing random factors in the marine environment. Aiming at seeking a method of control to realize ship positioning, intelligent control algorithms are adopt utilizing operator's experience. Fuzzy controller and the neural network controller are respectively designed. Through simulations and experiments, intelligent control algorithm can deal with the complex nonlinear motion, and has good robustness. The ship dynamic positioning system with neural network control has high positioning accuracy and performance.http://www.degruyter.com/view/j/acsc.2014.24.issue-4/acsc-2014-0026/acsc-2014-0026.xml?format=INTdynamic positioningfuzzy controlneural network controlBP algorithm |
| spellingShingle | Meng Wang Sheng Li Hong Qing Miao Rong Bian Guang Intelligent control algorithm for ship dynamic positioning Archives of Control Sciences dynamic positioning fuzzy control neural network control BP algorithm |
| title | Intelligent control algorithm for ship dynamic positioning |
| title_full | Intelligent control algorithm for ship dynamic positioning |
| title_fullStr | Intelligent control algorithm for ship dynamic positioning |
| title_full_unstemmed | Intelligent control algorithm for ship dynamic positioning |
| title_short | Intelligent control algorithm for ship dynamic positioning |
| title_sort | intelligent control algorithm for ship dynamic positioning |
| topic | dynamic positioning fuzzy control neural network control BP algorithm |
| url | http://www.degruyter.com/view/j/acsc.2014.24.issue-4/acsc-2014-0026/acsc-2014-0026.xml?format=INT |
| work_keys_str_mv | AT mengwang intelligentcontrolalgorithmforshipdynamicpositioning AT shenglihong intelligentcontrolalgorithmforshipdynamicpositioning AT qingmiao intelligentcontrolalgorithmforshipdynamicpositioning AT rongbianguang intelligentcontrolalgorithmforshipdynamicpositioning |