期刊文献+

模块环境下的filter-SQP用于过程优化 被引量:1

Filter-SQP in modular simulator environment for process optimization
下载PDF
导出
摘要 Sequential Quadratic Programming(SQP) is the most efficient algorithm for nonlinear optimization.But a penalty function is usually used for linear search,causing some problems.Filter-SQP developed by Roger Fletcher and Sven Leyffer avoids using penalty function.In the view of filter-SQP,NLP problem has two objectives,one is minimizing objective function,the other is satisfying the constraints.The concept of filter is proposed on the basis of these two objectives.In this paper flowsheet optimization using filter-SQP in modular simulator environment was studied.Infeasible path strategy was used and the constraint function was composed of tear stream equation,specific design and unsatisfied inequality constraint.When filter could not find a step as the starting point of the next iteration,in order to avoid algorithm failure three strategies were used.They were restarting strategy,converging recycle strategy and feasible path strategy.A successive scaling strategy was proposed for filter-SQP to improve the efficiency of optimization.A case study of process optimization with filter-SQP was very encouraging. Sequential Quadratic Programming (SQP) is the most efficient algorithm for nonlinear optimization. But a penalty function is usually used for linear search, causing some problems. Filter-SQP developed by Roger Fletcher and Sven Leyffer avoids using penalty function. In the view of filter-SQP, NLP problem has two objectives, one is minimizing objective function, the other is satisfying the constraints. The concept of filter is proposed on the basis of these two objectives. In this paper flowsheet optimization using filter-SQP in modular simulator environment was studied. Infeasible path strategy was used and the constraint function was composed of tear stream equation, specific design and unsatisfied inequality constraint. When filter could not find a step as the starting point of the next iteration, in order to avoid algorithm failure three strategies were used. They were restarting strategy, converging recycle strategy and feasible path strategy. A successive scaling strategy was proposed for filter SQP to improve the efficiency of optimization. A case study of process optimization with filter-SQP was very encouraging.
出处 《化工学报》 EI CAS CSCD 北大核心 2006年第3期614-619,共6页 CIESC Journal
基金 国家重点基础研究发展规划项目(2000026308)~~
关键词 模块环境 过程优化 filter-SQP 规格化 modular simulator environment process optimization filter-SQP scaling
  • 相关文献

参考文献10

  • 1邵之江,郑小青.基于自动微分的精馏塔优化计算灵敏度分析[J].化工学报,2004,55(8):1296-1300. 被引量:5
  • 2Biegler L T,Hughes R R.Infeasible path optimization with sequential modular simulators.AIChE J.,1982,28(6):994.
  • 3Biegler L T,Hughes R R.Feasible path optimization with sequential modular simulators.Computers & Chem.Engng.,1985,7(5):645.
  • 4Lang Y D,Biegler L T.A united algorithm for flowsheet optimization.Computers & Chem.Engng.,1987,11(2):143-158.
  • 5Chamberlain R M,Lemarechal C,Pedersen H C,Powell M J D.The watchdog technique for forcing convergence in algorithms for constrained optimization.Mathematical Programming Study,1982,16:1-17.
  • 6Fletcher R,Leyffer S.Nonlinear programming without a penalty function.Mathematical Programming,2002,91(2):239-269.
  • 7Rodriguez-toral M A,Morton W,Mitchell D R.The use of new SQP methods for the optimization of utility systems.Computers & Chem.Engng.,2001,25:287-300.
  • 8Luca A,Xu J.Chemical process optimization using Newton-like methods.Computers & Chem.Engng.,1990,14(2):119.
  • 9Biegler L T.Improved infeasible path optimization for sequential modular simulators(2):The optimization algorithm interface.Computers & Chem.Engng.,1985,9(3):257.
  • 10Biegler L T.Improved infeasible path optimization for sequential modular simulators(1):The interface.Computers & Chem.Engng.,1985,9(3):245.

二级参考文献6

  • 1Shao Zhijiang(邵之江), Zhang Yuyue(张余岳),Qian Jixin(钱积新).Unified Approach for Distillation Column Simulation and Optimization Based on Equation-oriented Algorithms.Journal of Chemical Industry and Engineering(China)
  • 2Shen Jingzhu(沈静珠).Process System Optimization (过程系统优化).2nd ed.Beijing:Tsinghua University Press,1994
  • 3Sastry S Isukapalli.Uncertainty Analysis of Transport-Transformation Models:[dissertation].Rutgers:State University of New Jersey,1999
  • 4Guo Tianmin(郭天民).Multicomponent Vapor-Liquid Equilibrium and Distillation(多元汽-液平衡和精馏).Beijing:Chemical Industry Press, 1983
  • 5Thomas F Coleman,Arun Verma.ADMAT: An Automatic Differentiation Toolbox for MATLAB.Ithaca:Cornell University,1998
  • 6LiXiang(李翔) ShaoZhijiang(邵之江) ZhongWeitao(仲卫涛) QianJixin(钱积新).Polycondensation Process Optimization Based on Hybrid Automatic Differentiation[J].Journal of Chemical Industry and Engineering(China)(化工学报),.

共引文献4

同被引文献2

引证文献1

二级引证文献1

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