DocumentCode :
2385465
Title :
Optimal thrust allocation based GA for dynamic positioning ship
Author :
Zhao Da-wei ; Ding Fu-guang ; Tan Jin-feng ; Liu Yue-qiang ; Bian Xin-qian
Author_Institution :
Dept of Autom., Harbin Eng. Univ., Harbin, China
fYear :
2010
fDate :
4-7 Aug. 2010
Firstpage :
1254
Lastpage :
1258
Abstract :
Thrust allocation is an important part of the dynamic positioning system, which determining the thrust and the direction of each of the thruster devices from the control law. This paper proposes a rational and effective method of solving thrust allocation to the semi-submersible rig based on the adaptive genetic algorithm. It is realizing the global parallel operations, achieving search in a large area, and convergence speed better then simple genetic algorithm. The validity and excellent performance of this algorithm was proved by the simulation results.
Keywords :
genetic algorithms; position control; ships; adaptive genetic algorithm; dynamic positioning ship; optimal thrust allocation; semi submersible rig; thruster devices; Azimuth; Convergence; Force; Marine vehicles; Optimization; Power demand; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2010 International Conference on
Conference_Location :
Xi´an
ISSN :
2152-7431
Print_ISBN :
978-1-4244-5140-1
Electronic_ISBN :
2152-7431
Type :
conf
DOI :
10.1109/ICMA.2010.5589933
Filename :
5589933
Link To Document :
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