BP神经网络应用于船舶减摇鳍控制系统的仿真研究

摘要

The feature of waves is unpredictable、strongly nonlinear, so ship rolling motion is difficulty to be precision predicated, how to control ship rolling motion more high efficiency is a difficulty problem. The paper researches the mathematical model of fin stabilizer and describes the application of BP neural networks at the fin stabilizers control system. The conclusion is that the application of BP neural networks obtain more preferable effectiveness than the fin stabilizer based on PID control only, the simulation verifies the conclusion.%由于波浪的不可预测性、强非线性的特点,导致船舶的横摇运动很难被精准预测.如何更高效地控制船舶的横摇运动,一直是困扰人们的难题.该文研究了减摇鳍系统数学模型并将BP神经网络应用于船舶减摇鳍控制系统,使基于PID控制的传统减摇鳍能更加高效地工作,减摇效果更好,通过MATLAB/Simulink仿真分析研究证明了结论的正确性.