Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

Parameter Identification of Underwater Glider Based on Particle Swarm Optimization

Authors
Liming Wang
Corresponding Author
Liming Wang
Available Online October 2016.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-312-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ceie-16.2017.15How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - https://doi.org/10.2991/ceie-16.2017.15
ID  - Wang2016/10
ER  -