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| MODIFIED METHODOLOGY FOR DISTILLATION MODELLING BY ORTHOGONAL COLLOCATION | |
| 引用本文： | 黄克谨,钱积新,孙优贤,周春晖. MODIFIED METHODOLOGY FOR DISTILLATION MODELLING BY ORTHOGONAL COLLOCATION[J]. 中国化学工程学报, 1995, 3(1): 1-10 |
| 作者姓名： | 黄克谨 钱积新 孙优贤 周春晖 |
| 作者单位： | Huang Kejin，Qian JixinSun Youxian Zhou ChunhuilInstitute of Industrial Process Control，Zhejiang Univeisity，Hangzhou 310027，China |
| 基金项目： | This work was supported by the National Laboratory of Industrial Control Technique of China |
| 摘 要： | A major shortcoming of polynomial approximation in the medelling of distillation columns isthe difficulty encountered while choosing the number and location of collocation points,which are usually doneby rule of the thumb,inevitably giving rise to high dimensionality and longer computation time for the resultingmodel.In order to take full advantage of polynomial approximation in the modelling of complicatedmulticomponent distillation columns,modifications must be made to the model reduction procedure originallyproposed by Cho.This is achieved by putting in special polynomials to each of the variable profiles.Furthermore,the number and location of the collocation points can be determined by the optimization of anappropriate objective function.This would bring about less dimensionality and less computation time for theresulting reduced--order model as compared with Cho's procedure while its accuracy is still kept excellent.Theeffectiveness of such modifications is illustrated by two simulation examples.Bot |
| 关 键 词： | distillation column reduced-order model polynomial approximation orthogonal collocation |
| 收稿时间： | 1993-10-11 |
| 修稿时间： | 1994-2-2 |
MODIFIED METHODOLOGY FOR DISTILLATION MODELLING BY ORTHOGONAL COLLOCATION |
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| Huang Kejin,QIAN Jixin,SUN Youxian,ZHOU Chunhui. MODIFIED METHODOLOGY FOR DISTILLATION MODELLING BY ORTHOGONAL COLLOCATION[J]. Chinese Journal of Chemical Engineering, 1995, 3(1): 1-10 | |
| Authors: | Huang Kejin QIAN Jixin SUN Youxian ZHOU Chunhui |
| Affiliation: | Institute of Industrial Process Control, Zhejiang Univeisity, Hangzhou 310027, China |
| Abstract: | A major shortcoming of polynomial approximation in the modelling of distillation columns is the difficulty encountered while choosing the number and location of collocation points, which are usually done by rule of the thumb, inevitably giving rise to high dimensionality and longer computation time for the resulting model. In order to take full advantage of polynomial approximation in the modelling of complicated multicomponent distillation columns, modifications must be made to the model reduction procedure originally proposed by Cho. This is achieved by putting in special polynomials to each of the variable profiles. Furthermore, the number and location of the collocation points can be determined by the optimization of an appropriate objective function. This would bring about less dimensionality and less computation time for the resulting reduced-order model as compared with Cho's procedure while its accuracy is still kept excellent. The effectiveness of such modifications is illustrated by two simulation examples. Both order reduction and accuracy improvement are remarkably indicated for steady state and dynamic state simulations of distillation columns. |
| Keywords: | distillation column reduced-order model polynomial approximation orthogonal collocation |
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