Parameter Identification of Underwater Glider Based on Particle Swarm Optimization
Authors
Liming Wang
Corresponding Author
Liming Wang
Available Online October 2016.
- DOI
- 10.2991/ceie-16.2017.15How to use a DOI?
- Keywords
- Underwater Glider; Dynamic Model; Particle Swarm Optimization; UnderActuated System
- Abstract
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.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Liming Wang PY - 2016/10 DA - 2016/10 TI - Parameter Identification of Underwater Glider Based on Particle Swarm Optimization BT - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016) PB - Atlantis Press SP - 109 EP - 114 SN - 2352-5401 UR - https://doi.org/10.2991/ceie-16.2017.15 DO - 10.2991/ceie-16.2017.15 ID - Wang2016/10 ER -