【作者】 杨杨； 郭晨； 孙建波；

【Author】 YANG Yang~1,GUO Chen~1,SUN Jian-bo~2 (1.Information Science and Technology College,Dalian Maritime University,Dalian 116026,China; 2.Marine Engineering College,Dalian Maritime University,Dalian 116026,China)

【机构】 大连海事大学 信息科学技术学院； 大连海事大学 轮机工程学院；

【摘要】 以大型集装箱船舶的柴油主机为控制对象,应用准稳态建模方法建立了包含螺旋桨、大型低速二冲程柴油机、轴系和船舶动力学特性的船舶推进系统全工况实时仿真数学模型;研究基于BP神经网络的广义最小方差控制算法,并将其引入到船舶柴油机调速系统中。仿真结果表明:在大风浪条件下,该算法控制效果优于传统的PID控制器的控制效果,为解决复杂海况下主机转速大幅波动出现增压器喘振问题提供了理论参考。更多还原

【Abstract】 The nonlinear mathematical model of main propulsion system of a large container ship was established with the application of the quasi steady state and mixed modeling methods.This model,which included the propeller,the large-scale low-speed two-stroke diesel engine,the shaft and the dynamic characteristics of the ship,was used to investigate the generalized minimum variance self-tuning regulator based on BP neural network,and was introduced into the speed controlling system of marine diesel engine.The simulation results verify the effectiveness of the resulting controller and show the advantage of the proposed controller over traditional PID actuator.It also provides certain theory reference for the improvement of the turbocharger surge caused by the oversized rotation speed oscillations under the condition of rough sea.更多还原