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船舶主柴油机缸套冷却水出口温度的智能控制
引用本文:吴桂涛,孙培廷.船舶主柴油机缸套冷却水出口温度的智能控制[J].中国造船,2004,45(2):57-61.
作者姓名:吴桂涛  孙培廷
作者单位:大连海事大学轮机工程学院,辽宁,大连,116023
基金项目:高等学校博士学科点专项科研项目
摘    要:利用传热学的有关理论,对船舶主柴油机缸套冷却水系统的传热机理进行了分析,给出了船舶主柴油机缸套冷却水系统的动态热力数学模型,并将基于神经网络的模糊PID控制引入到缸套冷却水出口温度控制系统中,以实现对对象进行在线控制.仿真结果表明,基于神经网络的模糊PID自适应控制比传统的PID控制的控制性能更好,而且前者具备适应控制环境变化的能力和自学习能力,当主机运行工况发生变化时,仍具有很好的控制性能.

关 键 词:船舶、舰船工程  船舶主机智能控制  缸套冷却水系统  神经网络  模糊PID控制
文章编号:1000-4882(2004)02-0057-05
修稿时间:2003年6月6日

Study on Intelligent Control for Jacket Cooling Water System of Main Marine Diesel Engine
WU Gui-tao,SUN Pei-ting.Study on Intelligent Control for Jacket Cooling Water System of Main Marine Diesel Engine[J].Shipbuilding of China,2004,45(2):57-61.
Authors:WU Gui-tao  SUN Pei-ting
Abstract:Based on the heat transfer theory, the paper analyzes the heat transfer mechanism of the jacket cooling water system of main marine diesel engine and then puts forward a dynamic mathematic model for the jacket cooling water system of main marine diesel engine. The neural network fuzzy PID adaptive control is introduced into jacket cooling water temperature control system to carry out on-line control. The dynamic mathematic model is simulated by the MATLAB. The results of computer simulation show that the neural network fuzzy PID adaptive control has better control performance than current PID control. When operating condition changes, this control method has an ability of self-study and can adapt to the changes of the environment, so it still has a good performance.
Keywords:ship engineering  main marine diesel engine  intelligent control  jacket cooling water system  neural network  fuzzy PID control  
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