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/).
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 -