• Author/Authors

    Prashant Dave، نويسنده , , Francis J. Doyle III and Joseph F. Pekny، نويسنده ,

  • DocumentNumber
    1384314
  • Title Of Article

    Customization strategies for the solution of linear programming problems arising from large scale model predictive control of a paper machine

  • شماره ركورد
    11378
  • Latin Abstract
    This paper presents an application of a customized linear programming (LP) based model predictive control strategy to the paper machine cross direction (CD) control problem. The objective of CD control is to maintain ¯at pro®les of variables of interest by minimizing worst case deviations from setpoints (defects). These control problems can have as many as 200 actuators (inputs) and 400 sensor measurements (outputs). This large size coupled with the stringent real-time requirement of computing a control move in a few seconds poses a very challenging control problem. Computational results that demonstrate the e€ectiveness of this strategy will be presented. For typical disturbances this algorithm can compute provably optimal control moves for a 400 input 400 output control problem in approximately 5 s versus approximately 90 s for a generic LP algorithm on a HP 9000/770 workstation.
  • From Page
    385
  • NaturalLanguageKeyword
    paper machine control , Model predictive control , Linear programming , Large scale systems , Algorithm engineering
  • JournalTitle
    Studia Iranica
  • To Page
    396
  • To Page
    396
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=44&DC=11378