Design of Computational Fluid Dynamics-Based Proportional Integral Controller

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Design of Computational Fluid Dynamics-Based Proportional Integral Controller

更新时间：2025-07-09

- Design of Computational Fluid Dynamics-Based Proportional Integral Controller
- Vol. 43, Issue 5, Pages: 90-93+118(2009)
- 作者机构：
  
  西安交通大学能源与动力工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP273;TP271+.3
- Online First：10 May 2009，
  
  Published：2009
- 稿件说明：
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Design of Computational Fluid Dynamics-Based Proportional Integral Controller[J]. 2009, 43(5): 90-93+118.
DOI：

Design of Computational Fluid Dynamics-Based Proportional Integral Controller[J]. 2009, 43(5): 90-93+118. DOI：

摘要

为解决流体力学试验中控制器设计耗时与成本高等问题

提出一种基于计算流体力学(CFD)的控制器设计新方法.该方法利用CFD软件FLUENT模拟被控对象

以用户自定义函数(UDF)完成控制算法

实现了基于CFD的闭环控制

并以冷热水混合器内部温度场的非线性控制系统为例

设计了基于CFD的比例积分(PI)控制器.结果表明

该方法无需进行物理试验即可获得被控系统的控制特性

且利用CFD技术进行控制器设计并不局限于系统某一控制点的研究

可以同时获得系统整场内各点特性

进行分布式的控制器设计.为涉及流体流动、热传导等过程的控制系统提供一种控制器设计的参考思路.

Abstract

A new approach was proposed which embeds a PI controller in computational fluid dynamics(CFD)mode to reduce time consumption and cost in physical fluid experiments. The plants controlled are simulated by commercial CFD software-FLUENT

and control algorithms are incorporated into the CFD model with its User-Defined Functions(UDF). To examine the performance of the new method

an internal temperature field nonlinear control of a hot and cool water mixer was explored for PI controller design. The results show that the system performance could be obtained without implementing physical experiment. Moreover

the character of each point in the entire field could be understood and thus the distributed controller could be designed by this approach. It appears that the present method is feasible in the controller design for systems involving fluid flow and heat transfer.

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references

CHICATELLI A, HARTLEY T, COLE G, et al. Interdisciplinary modeling using computational fluid dynamics and control theory [C]∥ Proceedings of the American Control Conference. Baltimore, Maryland, USA:IEEE Press, 1994:3438-3443.

BEZZO F, MACCHIETTO S, PANTELIDES C C. A general framework for the integration of computational fluid dynamics and process simulation [J]. Computers and Chemical Engineering, 2000,24(6):653-658.

YANG Yongxiang, REUTER M A, HARTMAN D T. CFD modelling for control of hazardous waste incinerator [J]. Control Engineering Practice, 2003,11(1): 93-101.

GERBER A G, DUBAY R, HEALY A. CFD-based predictive control of melt temperature in plastic injection molding [J]. Applied Mathematical Modelling, 2006, 30(9): 884-903.

DESTA T Z, JANSSENS K, BRECHT A V, et al. CFD for model-based controller development [J]. Building and Environment, 2004,39(6):621-633.

CHEN Qingyan, SREBRIC J. A procedure for verification, validation, and reporting of indoor environment CFD analyses [J]. HVACR Research, 2002, 8(2): 201-216.

ANSYS INC. FLUENT 6.2 UDF manual [M]. Southpointe, Pennsylvania, USA: Fluent Inc., 2005.

王福军. 计算流体动力学分析:CFD软件原理与应用[M]. 北京:清华大学出版社,2004.

韩占忠, 王敬, 兰小平. Fluent 流体工程仿真计算实例与应用 [M]. 北京:北京理工大学出版社,2004.

SMITH C L. Digital computer process control [M]. Scranton, Pennsylvania, USA: Intext, 1972.

ZHUANG M, ATHERTON D P. Automatic tuning of optimum PID controllers [J]. IEE Proc: D, 1993, 140(3): 216-224.

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