A Novel Adaptive Fuzzy Autopilot Design for ASV Tracking Control

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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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  -