• DocumentCode
    1652015
  • Title

    A nonlinear PI controller based on a low-order empirical process model

  • Author

    Brendel, Robert J. ; Ogunnaike, Babatunde A. ; Dhurjati, Prasad S.

  • Author_Institution
    Dept. of Chem. Eng., Delaware Univ., Newark, DE, USA
  • fYear
    1996
  • Firstpage
    292
  • Lastpage
    296
  • Abstract
    A nonlinear PI controller is developed from a low-order nonlinear empirical process model. Implementation issues such as model parameter identification and open-loop stability are discussed. The procedure for constructing effective controllers (including a simple model identification procedure) is illustrated with an example process of industrial significance
  • Keywords
    chemical technology; nonlinear control systems; parameter estimation; process control; stability; two-term control; low-order empirical process model; model parameter identification; nonlinear PI controller; open-loop stability; Adaptive control; Equations; Frequency; Parameter estimation; Signal generators; Signal processing; Stability; Steady-state; Taylor series; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Control System Design, 1996., Proceedings of the 1996 IEEE International Symposium on
  • Conference_Location
    Dearborn, MI
  • Print_ISBN
    0-7803-3032-3
  • Type

    conf

  • DOI
    10.1109/CACSD.1996.555303
  • Filename
    555303
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1652015