Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering

A Novel Adaptive Fuzzy Autopilot Design for ASV Tracking Control

Authors
M.H. Wang, Y.Q. Yu, W. Lin
Corresponding Author
M.H. Wang
Available Online July 2015.
DOI
10.2991/aiie-15.2015.152How to use a DOI?
Keywords
autonomous surface vehicle, fuzzy control, tracking control, simulation
Abstract

A novel robust adaptive fuzzy control algorithm is presented for autonomous surface vehicle (ASV) autopilot. This paper studies an approach for fuzzy rule base optimization. The optimization solution especially solves the non-compatible problem in the generation process of fuzzy control rules. For the design study, the optimization model has been carried out in the simulink environment. It is shown that the proposed algorithm guarantees that the tracking control system is asymptotically stable and its tracking error can approach to zero.Simulation results also show the effectiveness of the algorithm in the presence of disturbances, and high performance of the proposed controller.

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 2015 International Conference on Artificial Intelligence and Industrial Engineering
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-70-7
ISSN
1951-6851
DOI
10.2991/aiie-15.2015.152How 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  - M.H. Wang
AU  - Y.Q. Yu
AU  - W. Lin
PY  - 2015/07
DA  - 2015/07
TI  - A Novel Adaptive Fuzzy Autopilot Design for ASV Tracking Control
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 569
EP  - 572
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.152
DO  - 10.2991/aiie-15.2015.152
ID  - Wang2015/07
ER  -