摘要
船舶动力系统作为最复杂也是最重要的系统之一,受到广泛关注。由于整个动力系统涉及到机械、电子和通信控制等领域的技术,其设计和优化也变得非常棘手。本文通过深入分析船舶动力系统结构的基本原理,找出制约船舶动力系统的关键因素,从而提出一种基于神经网络的智能算法用来优化船舶动力系统。该模型能够对船舶动力系统的架构设计和配置需求作有效的预测,并从动力输出和控制能力2个方面对船舶的动力系统做了优化仿真。从仿真结果看,本优化配置方法具有一定的应用价值。
In modern shipbuilding industry,ship power system,as the most complex and important system,has been widely studied.Because the whole power system involves technology in the fields of machinery,electronics and communication control,its design and optimization become very difficult.Based on the in-depth analysis of the working principle and structure of ship power system,a configuration optimization model based on neural network algorithm is proposed in this paper.The model can effectively predict the structure design and configuration requirements of ship power system,and optimize the ship power system from two aspects of power output and control capability.From the simulation results,the method has certain application value.
作者
徐志立
XU Li-zhi(Beijing Youth Politics College,Beijing 100102,China)
出处
《舰船科学技术》
北大核心
2019年第13期121-123,共3页
Ship Science and Technology
关键词
船舶动力系统
神经网络
优化方法
仿真模型
marine power system
neural network
optimization method
simulation model
