The Application of On-line Estimation to a Double Effect Evaporator


For the implementation of on-line process control, it is often necessary to determine the true state of the plant, in real time, from insufficient and noisy measurements. Further information may be available in the form of a mathematical model: the measurements and model predictions can be combined to give a 'best' estimate of the process state. One such technique is the minimum variance recursive estimator or Kalman filter. This research is primarily an on-line application of the Kalman filter to the estimation of the temperatures, flows and overall heat transfer coefficients of a double effect evaporator. Two dynamic models are derived - a comprehensive eighteen order system and a fourth order reduced model. Two major software packages are developed - ASP, for interactive digital simulation and BASELINE for interactive data logging. Both packages are not confined to the double effect evaporator system as they are specifically designed for any programmer with a knowledge of BASIC. From on-line steady state experiments, accurate heat transfer coefficient correlations are derived which provide supporting equations for dynamic simulation. The results of comprehensive model simulation sive that the system response cannot be determined without a knowledge of the vapour phase dynamics. The response of the reduced model linulgtan closely follows the plant response to an identical disturbance and so this model is adopted for Kalman filter experiments.

Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Chemical Engineering & Applied Chemistry
Additional Information: Copyright © Stephen Gerald Payne, 1974. Stephen Gerald Payne asserts their moral right to be identified as the author of this thesis. This copy of the thesis has been supplied on condition that anyone who consults it is understood to recognise that its copyright rests with its author and that no quotation from the thesis and no information derived from it may be published without appropriate permission or acknowledgement. If you have discovered material in Aston Publications Explorer which is unlawful e.g. breaches copyright, (either yours or that of a third party) or any other law, including but not limited to those relating to patent, trademark, confidentiality, data protection, obscenity, defamation, libel, then please read our Takedown Policy and contact the service immediately.
Institution: Aston University
Uncontrolled Keywords: on-line estimation,double effect evaporator
Last Modified: 28 Jun 2024 07:07
Date Deposited: 08 Dec 2010 09:10
Completed Date: 1974
Authors: Payne, Stephen G.

Export / Share Citation


Additional statistics for this record