摘要
针对潜艇自动舵的控制特点和要求,利用BP神经网络的学习和逼近功能,设计了潜艇自动舵的多输入、多输出自动舵控制模型,并对其训练后加入到潜艇运动模型中进行了仿真测试。仿真结果表明,该控制器具有理想的控制效果。
According to the control peculiarites and requirements of submarine autopilot, a multi-inputs and multi-outputs submarine autopilot is designed by using the learning and approaching functions of BP （Back Propagation） neural net- work. After training it, the simulation testing, which uses the autopilot ha the submarine＇s movement model, is done. The simulation results show that this controller has good control effect.
出处
《船海工程》
北大核心
2006年第1期12-15,共4页
Ship & Ocean Engineering
关键词
自动舵
BP神经网络
潜艇
仿真
autopilot BP neural network submarine simulation
