上海交通大学学报

上海交通大学学报 >

2022 , Vol. 56 >Issue 3: 379 - 385

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2021.023

船舶海洋与建筑工程

基于FloMaster-Simulink联合仿真的大流量海水冷却系统控制方案优化

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  • 1.上海交通大学 海洋工程国家重点实验室, 上海 200240
    2.中国船舶及海洋工程设计研究院, 上海 200001
    3.上海交通大学 电子信息与电子工程学院, 上海 200240
王 宁(1995-),男,山东省菏泽市人,博士生,从事船舶动力装置及自动化研究.

收稿日期: 2021-01-17

  网络出版日期: 2022-04-01

基金资助

国家自然科学基金(52001209);上海市自然科学基金资助项目(20ZR1429300)

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Optimization of Control Scheme for Large Flow Seawater Cooling System Based on FloMaster-Simulink Co-Simulation

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  • 1. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    2. China Shipbuilding and Ocean Engineering Design and Research Institute, Shanghai 200001, China
    3. School of Electronic Information and Electronical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Received date: 2021-01-17

  Online published: 2022-04-01

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摘要

大型船用设备长时间工作会出现过热现象,需要建立冷却系统,保证设备在安全温度范围内工作.为满足某大型船用设备冷却要求,基于FloMaster仿真平台,构建海水冷却系统仿真模型,开展动态工况的仿真研究.根据换热器前后冷却液(乙二醇溶液)的温度,改变泵的转速或阀门开度,实现海水流量的自动控制.提出3种有效控制方案,利用FloMaster-Simulink联合仿真方法,计算得到变工况下系统的响应特性和运行特点.结果表明:开环和闭环共同作用,同时控制泵的转速时,冷却系统控制效果最优,能耗较小,为实际冷却系统工程问题提供了参考.

关键词： 冷却系统; FloMaster-Simulink; 动态仿真; 方案优化

本文引用格式

王宁, 付云鹏, 李艇, 李铁, 依平 . 基于FloMaster-Simulink联合仿真的大流量海水冷却系统控制方案优化[J]. 上海交通大学学报, 2022 , 56(3) : 379 -385 . DOI: 10.16183/j.cnki.jsjtu.2021.023

Abstract

Large-scale marine equipment will overheat if it works for a long time and a cooling system is necessary to be established to ensure that the equipment works in a safe range of temperature. To meet the cooling requirements of a large-scale marine equipment, a model of seawater cooling system is established in FloMaster, and simulations under dynamic conditions are conducted. According to the temperature of the coolant (glycol solution) in the front or back of the room of the heat exchanger, the pump speed or valve opening is changed to realize automatic control of seawater flow. Three control schemes are proposed, and the control effects are evaluated by the response characteristics and operating characteristics of the system under variable working conditions using the FloMaster-Simulink co-simulation method. The results show that when the pump speed is controlled by both the open loop and closed loop, the best control effect and lower energy consumption can be achieved.

Key words： cooling system; FloMaster-Simulink; dynamic simulation; scheme optimization

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