Modelling and control of CFD-based distributed parameter system

被引：0

作者：

Meng, Qing-Long ^{[1
,2
]}

Wang, Yuan ^{[1
]}

机构：

[1] School of Energy and Power Engineering, Xi'an Jiaotong University

[2] School of Environmental Science and Engineering, Chang'an University

来源：

Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2012年 / 46卷 / 08期

关键词：

Computational fluid dynamics(CFD); Controller; Environment simulation; System identification; User defined function;

D O I：

10.3785/j.issn.1008-973X.2012.08.019

中图分类号：

学科分类号：

摘要：

A new approach is proposed to resolve the problems of difficult modelling and control in fluid distributed parameter system. Parameter control system for fluid distribution is difficult to model and control the problem and introduce a new method-based on accurate CFD simulation and control. The plants controlled were simulated by CFD which could provide detail information of a full space field for system identification and control. To achieve on-line modeling and close-loop control, parameter estimation and control algorithms could be incorporated into CFD model. To examine the performance of the new method, an example about internal temperature field nonlinear control of the lab of environment simulation was explored. Commercial CFD software Fluent was used as CFD simulation platform. Through its User-Defined Functions (UDF) recursive least squares algorithm with forgetting factor and PI control algorithms were implemented. The results show that this method could be used to modelling distributed parameter system and to achieve effective control of the system.

引用

页码：1478 / 1484

页数：6

共 21 条

[1]

Khalafyand S.S., Nge Y.K., Zhong L., CFD simulation of flow through heart: a perspective review, Computer Methods in Biomechanics and Biomedical Engineering, 14, 1, pp. 113-132, (2011)

[2]

Chicatelli A., Hartley T., Cole G., Et al., Interdisciplinary modeling using computational fluid dynamics and control theory, Proceedings of the American Control Conference, pp. 3438-3443, (1994)

[3]

Yang Y.-X., Reuter M.A., Hartman D.T., CFD modelling for control of hazardous waste incinerator, Control Engineering Practice, 11, 1, pp. 93-101, (2003)

[4]

Gerber A.G., Dubay R., Healy A., CFD-based predictive control of melt temperature in plastic injection molding, Applied Mathematical Modelling, 30, 9, pp. 884-903, (2006)

[5]

Husiman L., Control of glass melting processes based on reduced CFD models, (2005)

[6]

Wong S.Y., Zhou W.-B., Hua J.-S., Designing process controller for a continuous bread baking process based on CFD modeling, Journal of Food Engineering, 81, 3, pp. 523-534, (2007)

[7]

Jiang Q., Zhang C., Jiang J., A CFD assisted control system design with applications to NO <sub>x</sub> control in a FGR furnace, Combustion Theory and Modelling, 11, 3, pp. 469-481, (2007)

[8]

Edward R., Thomas C., Roy B., Advance feedback control of indoor air quality using real-time computational fluid dynamics, ASHRAE Transactions, pp. 612-627, (1998)

[9]

Desta T.Z., Janssens K., Brecht A.V., Et al., CFD for model-based controller development, Building and Environment, 39, 6, pp. 621-633, (2004)

[10]

(2001)

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