【摘要】 船舶在航行时由于航行工况和环境变化多端 ,受力十分复杂 ,使得船舶操纵运动特性具有非线性、时变性和干扰的复杂性等特点 .文中基于神经网络控制的自学习和自适应性 ,研究了三种无监督学习的船舶操纵运动神经网络控制系统 ,并对系统在混合干扰情况下进行了仿真研究 ,与优化后的传统 PID控制系统进行了比较 .更多还原

【Abstract】 When ship is sailing on the sea the ship working situation and environment are changing with characters of non linear,big inertia,and complicated disturbances.Based on the self learning and adaptive of neural network,this paper presents three kinds of neural network controllers used in keeping ship’s course system. The simulation results under mix disturbances show that there is good application foreground to neural network systems in comparison with conventional PID control system.更多还原