• DocumentCode
    300758
  • Title

    Low order modeling for nonlinear process control

  • Author

    Balasubramhanya, Lalitha S. ; Doyle, Francis J.

  • Author_Institution
    Sch. of Chem. Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    4
  • fYear
    1995
  • fDate
    21-23 Jun 1995
  • Firstpage
    2682
  • Abstract
    A key tenet of robust control theory is that robust performance is closely tied to model accuracy. However, detailed models lead to computationally intractable problems and simplified linear models cannot effectively capture the range of behavior exhibited by a nonlinear system such as a high-purity distillation column. Many distributed parameter systems including distillation columns and fixed bed reactors exhibit the phenomena of travelling waves in their transport behavior. Low order models based on the travelling waves of the composition profiles in the column are nonlinear, mathematically concise, and effective in capturing the behavior of a distillation column. These models are used in a nonlinear state feedback control scheme to obtain tight control of the column
  • Keywords
    chemical industry; distillation; distributed parameter systems; modelling; nonlinear control systems; process control; robust control; state feedback; distillation column; distributed parameter systems; low order modeling; nonlinear process control; nonlinear state feedback; robust control; travelling waves; Computational modeling; Control systems; Distillation equipment; Ear; Inductors; Nonlinear control systems; Process control; Reduced order systems; Robust control; State feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, Proceedings of the 1995
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-2445-5
  • Type

    conf

  • DOI
    10.1109/ACC.1995.532335
  • Filename
    532335