期刊文献+

基于CFD的空间场温度系统建模与控制 被引量:8

Modelling and control of CFD-based distributed parameter system
下载PDF
导出
摘要 针对流体分布参数控制系统难以进行建模和控制的问题,提出一种基于计算流体动力学(CFD)的仿真与控制新方法.该方法利用CFD对被控对象进行数值模拟,为系统辨识和控制提供全场时空信息;将参数估计和控制算法嵌入CFD数值计算中,分别实现基于CFD的系统建模和闭环控制.以环境模拟实验室空间场温度控制为例,以Fluent作为CFD仿真平台,利用用户自定义函数(UDF)实现带遗忘因子的递推最小二乘算法和PI控制算法,进行该方法有效性验证.结果显示,该方法能够获得分布参数系统模型,可实现对系统的有效控制. 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) reeursive 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.
作者 孟庆龙 王元
出处 《浙江大学学报(工学版)》 EI CAS CSCD 北大核心 2012年第8期1478-1484,共7页 Journal of Zhejiang University:Engineering Science
基金 国家自然科学基金资助项目(10972176) 中央高校基本科研业务专项基金资助项目(CHD2011JC008)
关键词 计算流体动力学(CFD) 系统辨识 控制器 用户自定义函数 环境模拟 computational fluid dynamics(CFD) system identification controller user defined function environment simulation
  • 相关文献

参考文献19

  • 1KHAI.AFYAND S S,NGE Y K,ZHONG L. CFD sim- ulation of flow through heart: a perspective review[J]. Computer Methods in Biomechanics and Biomedical Engi- neering, 2011, 14(1): 113 - 132.
  • 2CHICATELLI A, HARTLEY T, COI.E G, et al. In terdisciplinary modeling using computational fluid dy- namics and control theory[C] //Proceedings of the A- merican Control Conference. Baltimore, Maryland, USA: IEEE Press, 1994: 3438-3443.
  • 3YANG Yong-xiang, REUTER M A, HARTMAN D T. CFD modelling for control of hazardous waste incinerator[J]. Control Engineering Practice, 2003, 11 ( 1 ): 93 - 101.
  • 4GERBER 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.
  • 5HUSIMAN L. Control of glass melting processes based on reduced CFD models[D]. Eindhoven: Doctoral Dis- sertation, Eindhoven University of Technology, 2005.
  • 6WONG S Y, ZHOU Wei-biao, HUA Jin-song. Desig- ning process controller for a continuous bread baking process based on CFD modeling [J]. Journal of Food Engineering,2007,81(3) : 523 - 534.
  • 7JIANG Qing, ZHANG Chao; JIANG Jin. A CFD assis- ted control system design with applications to NO. con-trol in a FGR furnace [J]. Combustion Theory and Mod- elling, 2007, 11(3): 469-481.
  • 8EDWARD R. THOMAS C, ROY B. Advance feedback control of indoor air quality using real-time computation- al fluid dynamics [J]. ASHRAE Transactions, 1998: 612 - 627.
  • 9DESTA T Z, JANSSENS K, BRECHT A V, et al. CFD for model-based controller development [J]. Build- ing and Environment, 2004,39(6) : 621 - 633.
  • 10I.JUNG L. Perspectives on system identification [J].Annual Reviews in Control, 2010, 34(1): 1 -12.

二级参考文献15

  • 1梁军,符雪桐,吕勇哉.自适应PID控制──I.基本原理与算法[J].浙江大学学报(自然科学版),1994,28(5):523-529. 被引量:13
  • 2[3]方崇智,萧德云.过程辨识[M].北京:清华大学出版社,2001.
  • 3[17]C.C.Fang,K.J.Astrom,W.K.Ho.Refinements of the Ziegler-Nichols Tuning Formula[J].IEE Proceedings-D,1991.
  • 4[18]Akihiro Kaneshige,Kazuhiko Terashima.The Control Engineering Education Using an Advanced Control Training System by mean of Integrating MATLAB Software and Experimental Systems[C]//The4th Asian Control Conference,Singapore,2002.
  • 5[19]Amer Noureldin,Gerhard Lappus.Advanced Control in Freelance2000 with Online Interface to Matlab/Simulink[C]//The 4th Asian Control Conference,Singapore,2002.
  • 6[1]Yun Li,Kiam Heong Ang,Chong GC.Y.PID Control System Analysis and Design[J].Control Systems Magazine,IEEE (S0272-1708),2006,26:32-41.
  • 7[3]K.S.Narendra.The Changing Face of Adaptive Control[C]//The 4th Asian Control Conference,Singapore,2002.
  • 8[6]William Y.Svrcek,Donald P.Mahoney,Brent R.Young.A Real-Time Approach to Process Control[M].New York:Chichester.John Wiley& Sons,2000.
  • 9[8]Lennart Ljung.Black-box Models from Input-output Measurements[C]//IEEE Instrumentation and Measurement Technology Conference.Budapest,Hungary,2001.
  • 10[9]Lennart Ljumg.System Identification Theory for the User Second Edition[M].北京:清华大学出版社,2002.

共引文献24

同被引文献58

引证文献8

二级引证文献22

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部