Skip to main content
SpringerLink
Log in

Process Control System Synthesis under Constraints Imposed on Controlled Variables

  • Published:
Theoretical Foundations of Chemical Engineering Aims and scope Submit manuscript

Abstract

The Principal Components Regression method is adapted for automatic process control synthesis. The modified method ensures that the constraints imposed on the controlled variables are satisfied as the control and disturbing actions vary randomly. Conventional methods of compressing information into a space of a lower dimensionality are adapted for constrained controlled variables. A simple numerical example is provided to illustrate the synthesis of a linear control system for a given model process.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

REFERENCES

  1. Chen, G. and McAvoy, T.J., Process Control Utilizing Data Based Multivariate Statistical Models, Can. J. Chem. Eng., 1996, vol. 74, no. 11, p. 1010.

    Google Scholar 

  2. Malthouse, E.C., Tamhane, A.C., and Mah, R.S.H., Non-linear Partial Least Squares, Comput. Chem. Eng., 1997, vol. 21, no. 8, p. 875.

    Google Scholar 

  3. Qin, S.J. and McAvoy, T.J., Nonlinear PLS Modelling Using Neural Networks, Comput. Chem. Eng., 1992, vol. 16, no. 4, p. 379.

    Google Scholar 

  4. Meidell, T. and Skogestad, S., Composition Estimator in a Pilot-Plant Distillation Column Using Multiple Temperatures, Ind. Eng. Chem. Res., 1991, vol. 30, no. 7, p. 2555.

    Google Scholar 

  5. Dovi', V.G., Reverberi, A.P., and Maga, L., Reconciliation of Process Measurements When Data Are Subject to Detection Limits, Chem. Eng. Sci., 1997, vol. 52, no. 17, p. 3047.

  6. Martens, H. and Naes, T., Multivariate Calibration, London: Wiley, 1989.

    Google Scholar 

  7. Piovoso, M.J. and Kosanovich, K.A., The Use of Multivariate Statistics in Process Control, The Control Handbook, Levine, M.S., Ed., New York: CRC, 1994.

    Google Scholar 

  8. Shumway, R.H., Azari, A.S., and Johnson, P., Estimating Mean Concentrations under Transformation for Environmental Data with Detection Limits, Technometrics, 1989, vol. 31, no. 3, p. 347.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Genoa, Italy

    L. Maga & V. G. Dovi'

  2. Mendeleev University of Chemical Technology, Miusskaya pl. 9, Moscow, 125190, Russia

    V. P. Meshalkin & I. V. Soboleva

Authors
  1. L. Maga
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. V. P. Meshalkin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. V. G. Dovi'
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. I. V. Soboleva
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Maga, L., Meshalkin, V.P., Dovi', V.G. et al. Process Control System Synthesis under Constraints Imposed on Controlled Variables. Theoretical Foundations of Chemical Engineering 36, 389–394 (2002). https://doi.org/10.1023/A:1019860018741

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1019860018741

Keywords

Search

Navigation