Parameter identification of underwater glider based on particle swarm optimization

被引：0
|
作者：
Wang, Li-Ming [1 ]
机构：
[1] Langfang Teachers Univ, Fac Phys & Elect Informat, Langfang 065000, Peoples R China
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMMUNICATION AND ELECTRONIC INFORMATION ENGINEERING (CEIE 2016) | 2016年 / 116卷
关键词：
Underwater Glider; Dynamic Model; Particle Swarm Optimization; Under-Actuated System;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
An accurate model for an underwater glider is important for the design of a high-performance underwater glider control system. The performance of such control systems is influenced by the parameter variation of underwater glider under real operation conditions. In this paper, the mass parameters of an underwater glider are identified by a particle swarm optimization (PSO) method based on experimental tests. The advantages of adopting the PSO algorithm in this research include easy implementation, high computational efficiency and stable convergence characteristics.
引用
收藏
页码：109 / 114
页数：6
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