| 智能算法和物体斜出水水动力参数辨识 |
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| 引用本文： | 陈玮琪,颜开,史淦君,鲁海燕. 智能算法和物体斜出水水动力参数辨识[J]. 船舶力学, 2008, 12(2): 204-210 |
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| 作者姓名： | 陈玮琪 颜开 史淦君 鲁海燕 |
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| 作者单位： | 江南大学,江苏,无锡,214026;中国船舶科学研究中心,江苏,无锡,214082;中国船舶科学研究中心,江苏,无锡,214082;江南大学,江苏,无锡,214026 |
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| 摘 要： | 提出了一种基于智能技术的新的辨识算法一随机差分群体智能算法,并对约束物体带攻角高速出水的水动力参数进行了辨识,建立了λ22和C,的数学模型.用同一攻角的其它试验数据对辨识的模型进行了验证,结果表明,模型的预测值与观测值相当一致.
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| 关 键 词： | 参数辨识 水动力 出水 群体智能 |
| 文章编号： | 1007-7294(2008)02-0204-07 |
| 修稿时间： | 2007-10-25 |
A new swarm intelligence and parameter identification of hydrodynamic forces acting on axis-symmetric body exiting water obliquely |
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| CHEN Wei-qi,YAN Kai,SHI Gan-jun,LU Hai-yan. A new swarm intelligence and parameter identification of hydrodynamic forces acting on axis-symmetric body exiting water obliquely[J]. Journal of Ship Mechanics, 2008, 12(2): 204-210 |
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| Authors: | CHEN Wei-qi YAN Kai SHI Gan-jun LU Hai-yan |
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| Abstract: | In this paper,a new swarm intelligence algorithm called deferential swarm (DS) is proposed,and identification of hydrodynamic forces acting on an axis-symmetric body exiting water obliquely is investigated using DS. the model of normal added mass coefficient and of the velocity-related normal force coefficient is successfully obtained. Using this model for other test case shows that the results calculated from the identified parameters agree quite well with the original test results. It is also shown that the identification method is effective and the model of normal unsteady hydrodynamic forces during water exit is reliable. |
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| Keywords: | parameter identification hydrodynamic forces water exit swarm intelligence |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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