• DocumentCode
    1523949
  • Title

    Reduced-order estimator for closed-loop online estimation of cross-directional parameters in a plastics extrusion process

  • Author

    Corscadden, K.W. ; Duncan, S.R.

  • Author_Institution
    Control Syst. Centre, Univ. of Manchester Inst. of Sci. & Technol., UK
  • Volume
    144
  • Issue
    6
  • fYear
    1997
  • fDate
    11/1/1997 12:00:00 AM
  • Firstpage
    549
  • Lastpage
    557
  • Abstract
    The paper addresses the problem of estimating the “effective” actuator centre locations in a plastics extrusion process while the process is operating in closed loop. It shows that it is possible to use a lower-order model estimator and hence considerably reduce the complexity of the procedure. The estimator is described as a radial basis function network, where the basis functions in the hidden layer are defined using discrete Chebyshev polynomials. The problem is considered as a nonlinear optimisation problem and solved online using a recursive prediction error method
  • Keywords
    closed loop systems; feedforward neural nets; neurocontrollers; parameter estimation; plastics industry; polynomials; process control; reduced order systems; closed-loop systems; cross-directional control; discrete Chebyshev polynomials; nonlinear optimisation; parameter estimation; plastics extrusion process; radial basis function network; recursive prediction error; reduced-order estimator;
  • fLanguage
    English
  • Journal_Title
    Control Theory and Applications, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2379
  • Type

    jour

  • DOI
    10.1049/ip-cta:19971621
  • Filename
    645940