Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

Study on Optimization and Simulation of Hydrofoil USV propulsion intelligent control based on Chaos Algorithm

Authors
Yang Li, Songlin Yang, Yongqiang Yu, Man Liu
Corresponding Author
Yang Li
Available Online May 2017.
DOI
10.2991/msmee-17.2017.246How to use a DOI?
Keywords
Hydrofoil USV, Fuzzy control, Intelligent propulsion
Abstract

Platform of MATLAB Simulink module is used to establish hydrofoil USV of the intelligent propulsion system simulation model of the chaos optimization program. Using the program to optimize the parameters of the hydrofoil USV propulsion system can significantly improve propulsive performance. The reliability of simulation and optimization is verified by analyzing the change relationship between the overshoot and the initial propeller speed and the initial speed under different disturbances. The chaos optimization program can also be used in the real-time control of the hydrofoil propulsion system.

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/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
978-94-6252-346-3
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.246How to use a DOI?
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  - Yang Li
AU  - Songlin Yang
AU  - Yongqiang Yu
AU  - Man Liu
PY  - 2017/05
DA  - 2017/05
TI  - Study on Optimization and Simulation of Hydrofoil USV propulsion intelligent control based on Chaos Algorithm
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 1320
EP  - 1327
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.246
DO  - 10.2991/msmee-17.2017.246
ID  - Li2017/05
ER  -