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