哈尔滨工程大学学报2012，Vol.33Issue(12)：1504-1508,5.DOI:10.3969/j.issn.1006-7043.201202018
基于粒子群优化算法的海浪方向谱估计
Directional wave spectrum estimation based on particle swarm optimization algorithm
摘要
Abstract
In order to solve the problems of high cost measuring equipment used to estimate directional wave spectrum , that are easily subjected to damage and loss, the directional wave spectrum estimation, which uses the data of ship motion responses to estimate wave spectra by combination of the parameterization approach, will be examined in this paper. Meanwhile, a parameter tuning method using the particle swarm optimization (PSO) algorithm for the 8-parameter model of the directional wave spectrum is presented . The method requires the use of a simple measuring instrument and hardware to accomplish the estimation of the directional wave spectrum. And next, two kinds of sea state conditions are simulated with the real ship model. The results confirm the validity of the proposed approach which allows for accurate estimation of the directional wave spectrum.关键词
船舶运动响应/粒子群优化算法/海浪方向谱/频谱/运动响应幅值算子Key words
ship motion response/ particle swarm optimization algorithm/ directional wave spectrum/ frequency spectrum/ motion response amplitude operators分类
交通工程引用本文复制引用
谢业海,林孝工,赵大威,徐树生..基于粒子群优化算法的海浪方向谱估计[J].哈尔滨工程大学学报,2012,33(12):1504-1508,5.基金项目
国家自然科学基金资助项目(50979017,60775060) （50979017,60775060）
中央高校基本科研业务费专项资金引进优秀人才资助项目(HEUCFR1118). （HEUCFR1118）
