A neural network based fuzzy autopilot design for an autonomous underwater vehicle

被引：0
|
作者：
Craven, PJ [1 ]
Sutton, R [1 ]
机构：
[1] Univ Plymouth, Inst Marine Studies, Plymouth PL4 8AA, Devon, England
来源：
INTELLIGENT AUTONOMOUS VECHICLES 1998 (IAV'98) | 1998年
关键词：
neural; tuning; fuzzy; autopilot; autonomous underwater vehicle;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describes the application of a neural network approach to the tuning of a fuzzy autopilot for course-changing control of an autonomous underwater vehicle (AW). The autopilot is encoded as an adaptive network-based architecture. To describe the yaw dynamics of the AUV a sophisticated simulation model is employed. Results are presented which highlight the course-changing ability and robustness of the tuned autopilot over the same autopilot prior to neurofuzzy tuning. It is concluded that the chosen tuning method offers a viable approach to the development of effective AW yaw autopilots. Copyright (C) 1998 IFAC.
引用
收藏
页码：569 / 574
页数：6
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