Proceedings of the International Conference on Computer Information Systems and Industrial Applications

The Load Current Control of Inductively Coupled Power Transfer System Based on Neural Network for AUV

Authors
Y.Q Yuan, K. Wang, Y.H Liao
Corresponding Author
Y.Q Yuan
Available Online June 2015.
DOI
10.2991/cisia-15.2015.57How to use a DOI?
Keywords
inductive coupled power transfer; coupling; neural network; power compensation
Abstract

Autonomous Underwater Vehicle non-contact charging system using a separate structure?When the technology is used in the underwater environment, the inductive coupled power transmission system will produce a gap and eccentricity under the influence of the water shock, causing the coupling state changed, which will affect the output power. This paper presents a control algorithm based on neural network system that compensate the system output power by adding a DC/DC switching according to the changes of the magnetic coupling state ,in order to achieve a stable output voltage.

Copyright
© 2015, 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/).

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Volume Title
Proceedings of the International Conference on Computer Information Systems and Industrial Applications
Series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
10.2991/cisia-15.2015.57
ISSN
2352-538X
DOI
10.2991/cisia-15.2015.57How to use a DOI?
Copyright
© 2015, 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  - Y.Q Yuan
AU  - K. Wang
AU  - Y.H Liao
PY  - 2015/06
DA  - 2015/06
TI  - The Load Current Control of Inductively Coupled Power Transfer System Based on Neural Network for AUV
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 214
EP  - 217
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.57
DO  - 10.2991/cisia-15.2015.57
ID  - Yuan2015/06
ER  -