FUEL OPTIMIZED THRUST ALLOCATION ALGORITHM DEVELOPMENT USING PENALTY-METHOD FOR THE DYNAMIC POSITIONING FPSO

被引:0
|
作者
Kim, S. W. [1 ]
Kim, Joseph Moo-Hyun [1 ]
Choi, J. W. [2 ]
You, Y. J. [2 ]
机构
[1] Texas A&M Univ, College Stn, TX 77843 USA
[2] Daewoo Shipbldg & Marine Engn, Seoul, South Korea
关键词
SYSTEM;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this paper, a thrust allocation algorithm is proposed to minimize the fuel consumption and the gas emission of the offshore platform dynamic positioning system. The thrust allocation algorithm generates thruster commands that keep the position of offshore platform while physical limitation. Generally, the offshore platform control system is an over actuated system. Thus, a thrust allocation problem of the offshore platform can be determined as an optimization problem. In this research, a thrust allocation problem is designed to minimize the fuel-consumption and the gas emission. Fuel-optimal thrust allocation was newly formulated and solved based on penalty-method based optimization. Developed thrust allocation method was evaluated by comparing to conventional pseudo-inverse based thrust allocation. The proposed thrust allocation method was validated with comparison with an offshore support vessel static allocation cases. A fully coupled dynamics of hull, mooring, riser, and dynamic positioning system were simulated in time domain. The proposed thrust allocation method that uses penalty-method achieved a 3% accumulated fuel consumption reduction compared to the conventional pseudo-inverse method based thrust allocation algorithm in GOM 1-yr storm condition.
引用
收藏
页数:6
相关论文
共 32 条
  • [31] High-Resolution Image Classification Using the Dynamic Differential Evolutionary Algorithm Optimized Multi-scale Kernel Support Vector Machine Method
    Rong, Xueqian
    Zhang, Aizhu
    Sun, Genyun
    Huang, Hui
    Ma, Ping
    [J]. ADVANCES IN BRAIN INSPIRED COGNITIVE SYSTEMS, BICS 2018, 2018, 10989 : 334 - 341
  • [32] Development of an optimized chemical kinetic mechanism for homogeneous charge compression ignition combustion of a fuel blend of n-heptane and natural gas using a genetic algorithm (vol 224, pg 1141, 2010)
    Rahimi, A.
    Fatehifar, E.
    Saray, R. Khoshbakhti
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2011, 225 (D8) : 1098 - 1098