离心泵快速启动过程仿真与优化
唐爽，王彦伟*，刚鹏
（武汉工程大学 机电工程学院，湖北 武汉 430074）
摘要：离心泵在快速启动过程中影响外特性的因素有阀门开度、管道阻力、动力源特性等。为了分析动力源特性在离心泵快速启动过程中对流量和转速的影响，构建了Simulink和Flowmaster的联合仿真模型来模拟离心泵测试系统。在Flowmaster中构建出离心泵测试台，在Simulink中构建出直流电机闭环PI调速仿真模型作为动力源，使用工程整定中常用的衰减曲线法对PI参数进行整定。在此基础之上引入模糊控制，参考Simulink帮助文件中模糊PI的控制方法，选用非线性面模糊控制器，构建模糊推理系统。采用模糊PI控制的直流电机驱动离心泵，仿真结果显示，离心泵转速的超调量有所减小，稳定性较好，流量更快到达稳定状态，离心泵性能有所加强。
关键词：离心泵；快速启动；联合仿真；模糊控制
中图分类号：TH311 文献标志码：A doi：10.3969/j.issn.1006-0316.2021.07.002
文章编号：1006-0316 (2021) 07-0008-06
Simulation and Optimization of Fast Starup of Centrifugal Pumps
TANG Shuang，WANG Yanwei，GANG Peng
( School of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430074, China )
Abstract：During the process of fast startup, pipeline resistance, valve opening and power source characteristics have a significant influence on the transient characteristics of the centrifugal pump. In order to analyze the influence of power source characteristics on the flow and speed of the centrifugal pump during the fast startup, the co-simulation model is built with Simulink and Flowmaster. The centrifugal pump test system is built with Flowmaster software, and the closed-loop PI speed control simulation model of DC motor is built with Simulink, and the PI parameters are adjusted by the attenuation curve method commonly used in engineering tuning. On this basis, the fuzzy control is introduced, and the nonlinear plane fuzzy controller is selected to construct the fuzzy reasoning system by referring to the fuzzy PI control method in the Simulink help document. The centrifugal pump is driven by the DC motor controlled by fuzzy PI. The simulation result shows that the overshoot of the centrifugal pump speed is reduced, the stability is better, the flow reaches the stable state faster, and the driving performance of the DC motor is improved.
Key words：centrifugal pump；fast startup；joint simulation；fuzzy PI
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收稿日期：2020-12-21
基金项目：国家自然科学基金面上项目（51375186）
作者简介：唐爽（1993－），男，湖北黄冈人，硕士研究生，主要研究方向为机电一体化设备与技术，E-mail：1303342088@qq.com。*通讯作者：王彦伟（1975－），男，工学博士，教授，主要研究方向为机电一体化设备与技术，E-mail：ywwang_cad@hust.edu.cn。
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