| 水下航行体水动力参数智能辨识方法研究 |
| |
| 引用本文： | 陈玮琪,颜开,史淦君,王士同,刘志勇. 水下航行体水动力参数智能辨识方法研究[J]. 船舶力学, 2007, 11(1): 40-46 |
| |
| 作者姓名： | 陈玮琪 颜开 史淦君 王士同 刘志勇 |
| |
| 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 |
| |
| 摘 要： | 通过水下航行体的状态方程和试验观测方程,利用智能辨识技术对水下航行体的模拟运动数据进行了仿真辨识,求得了10个水动力参数.结果表明,智能算法简单有效,对目标函数没有可微性和连续性要求,避免了复杂的梯度矩阵计算,适合在复杂的非线性水动力系统辨识中应用.
|
| 关 键 词： | 参数辨识 粒子群算法 水下航行体 水动力参数 |
| 文章编号： | 1007-7294(2007)01-0040-07 |
| 修稿时间： | 2006-09-16 |
Research of hydrodynamic parameter identification for underwater vehicle using swarm intelligence algorithm |
| |
| CHEN Wei-qi,YAN Kai,SHI Gan-jun,WANG Shi-tong,LIU Zhi-yong. Research of hydrodynamic parameter identification for underwater vehicle using swarm intelligence algorithm[J]. Journal of Ship Mechanics, 2007, 11(1): 40-46 |
| |
| Authors: | CHEN Wei-qi YAN Kai SHI Gan-jun WANG Shi-tong LIU Zhi-yong |
| |
| Abstract: | Based on underwater vehicle's nonlinear differential equation and observation equations,swarm intelligence algorithm is used to identify ten hydrodynamic parameters from simulation observed data of the motions of underwater vehicle.Experimental results show that this method is highly effective and efficient,and moreover it has no requirements on the differentiability and continuity of the objective function,and consequently does not need to perform complex matrix calculations,so this method is suitable for applications in identification of nonlinear hydrodynamics of complex system. |
| |
| Keywords: | parameter identification swarm intelligence algorithm underwater vehicle hydrodynamic parameter |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
