基于人工神经网络的舰船稳定性分析

Ship stability analysis based on artificial neural networks

船舶在海上经常受到风浪流雾等不可估测因素的影响,控制船舶的稳定性非常重要。本文通过分析单个人工神经元PID控制和多个神经元PID控制方式设计基于人工神经网络PID控制算法,并将此算法应用于船舶稳定性控制。仿真实验说明,人工神经网络应用于船舶稳定性控制的有效性和准确性。

Ships at sea are often affected by storms and fog that are unavoidable. Control of the ship＇s stability is very important. This paper analyzes the PID control mode under single artificial neuron PID control and multiple neurons to design control algorithms based on artificial neural network PID. This algorithm is applied to the ship＇s stability control. Finally, simulation experiments show artificial neural networks can help to control the ship＇s stability and this way is efficient and accurate.