摘要
针对采用喷水推进的高速滑行无人艇水下附体少,航向稳定性差、横摇阻尼小和高速时易出现"海豚运动"现象的特点,对高速滑行艇进行系统建模,分析艇体的水动力特性和运动特性。在此基础上采用基于模糊神经网络的控制方法,通过对喷水推进器的控制来实现对艇体的姿态控制。运用MATLAB软件进行系统仿真,仿真结果表明,采用模糊神经网络对无人艇的姿态控制,能够有效减小艇体的摇摆。
The high-speed unmanned sliding ship used water-jet has the characters that it has little underwater attach substance and small horizontal roll damp. The course stability is not steady, and the "dolphin movement" will appear when the ship is in high speed. The ship was modeled, and the water dynamical and the movement characteristic were analyzed, And a control means on Fuzzy-Neural Networks was given which controlled the ship's attitude through accommodating the water-jet. Then the MATLAB software was used to simulate the system and get the result. The result shows that the controller using the Fuzzy-Neural Networks is efficient to reduce the ship's roll and control its attitude.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2008年第16期4461-4465,共5页
Journal of System Simulation