Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《CIESC Journal》 2010-08
Add to Favorite Get Latest Update

Chemical process optimization approach based on primal-dual interior-point method

HONG Weirong,WANG Yan,TAN Pengcheng(Institute of Process Equipment,Zhejiang University,Hangzhou 310027,Zhejiang,China)  
Based on active set SQP quasi-sequential approach,a quasi-sequential approach based on primal-dual interior-point method was presented.Quasi-sequential approach included two layers called simulation layer and optimization layer.In the simulation layer orthogonal collocation method was used to discretize both state variables and control variables,and the discretized DAE system was solved at each NLP iteration to eliminate equality constraints and state variables,so that the optimization problem is reduced to a smaller NLP problem only with inequality constraints and control variables.Recent studies showed that interior-point method took advantage of active set method in large-scale optimization problems,thus in the optimization layer a primal-dual interior-point method is employed.FORTRAN is used to code quasi-sequential approach and a distillation optimal control problem is optimized to demonstrate the efficiency.Results show that this approach has the capacity to solve large-scale dynamic optimization problems.
【Fund】: 国家自然科学基金项目(20676117)~~
【CateGory Index】: TQ021.8
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved