Research of hydrodynamic parameter identification for underwater vehicle using swarm intelligence algorithm

被引：0
|
作者：
Chen, Wei-Qi [1 ,2 ]
Yan, Kai [2 ]
Shi, Gan-Jun [2 ]
Wang, Shi-Tong [1 ]
Liu, Zhi-Yong [2 ]
机构：
[1] Southern Yangtze University, Wuxi 214026, China
[2] China Ship Scientific Research Center, Wuxi 214082, China
来源：
Chuan Bo Li Xue/Journal of Ship Mechanics | 2007年 / 11卷 / 01期
关键词：
Algorithms - Autonomous underwater vehicles - Computer simulation - Differential equations - Experiments - Functions - Matrix algebra - Nonlinear equations;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
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页码：40 / 46
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