自适应学习误差模型船舶柴油机调速器的研究

船速控制的重要功能是维持船舶航速稳定和主机的热平衡,从而提高船舶操纵性能,以船-机-桨系统为控制对象的船舶调速器能够较好地实现这些功能.在分析船舶航速误差模型变化特性的基础上,应用激励函数的自适应神经网络和最陡下降法的非线性优化技术,提出了自适应学习误差模型控制方法,应用于船舶柴油机调速器控制系统.为验证新方法的有效性,在实验室条件下,建立了船舶柴油机调速器半实物仿真系统.仿真结果表明,新的船舶柴油机调速器在系统模型不确定和参数摄动情况下,能在线学习被控系统的动态特性,具有抑制扰动和参数摄动的能力,系统调节过程的稳定性和快速性都有提高.

Research on Ship Diesel Engine Speed Regulator Using on-Line Learning and Self-Tuning Error Model

Ship speed control is a key issue in improving performance of ship maneuvers,keeping ship speed stabilization and heat balance effect of main engine.Ship speed regulator of ship-engine-propeller to be as the control object can realize this objective.On the basis of variation characteristics of ship speed error model,a ship speed regulator using the on-line adaptive error model is proposed in this paper.The control scheme is based on back propagation multi-layer perceptrons(MLP) adaptive neural network in wh...