Application of a modular computer simulation system to the control of a reactor train

Authors

  • J. W. Ponton,

    1. Department of Chemical Engineering, McMaster University, Hamilton, Ontario
    Current affiliation:
    1. Department of Engineering Science, University of Edinburgh (This project was carried out at McMaster University while on leave from this university)
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  • A. I. Johnson,

    1. Department of Chemical Engineering, McMaster University, Hamilton, Ontario
    Current affiliation:
    1. Dean of Engineering Science, University of Western Ontario, London, Ontario
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  • P. Browne

    1. Department of Chemical Engineering, McMaster University, Hamilton, Ontario
    Current affiliation:
    1. Supervisor, Systems Group, Aluminum Company of Canada Limited, Arvida, Que
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Abstract

A modular, digital computer program, called DYNSYS, has been used for the simulation of the transient behaviour of a digester train for the extraction of alumina from bauxite. The modules, including digester units, pumps, slurry mixers, and conventional three mode controllers with control devices can be assembled in a flexible manner to simulate alternative control strategies for the train. Algorithms for a supervisory digital control computer adjusting set points and controlling process variables can also be tested. Methods for simulating fluctuations in process variables, including drift in sensing devices, were studied and improved control arrangements and settings were developed.

A modular, digital computer program, called DYNSYS, has been used for the simulation of the transient behaviour of a digester train for the extraction of alumina from bauxite. The modules, including digester units, pumps, slurry mixers, and conventional three mode controllers with control devices can be assembled in a flexible manner to simulate alternative control strategies for the train. Algorithms for a supervisory digital control computer adjusting set points and controlling process variables can also be tested. Methods for simulating fluctuations in process variables, including drift in sensing devices, were studied and improved control arrangements and settings were developed.

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