Water Science and Technology Vol 33 No 1 pp 325333 © IWA Publishing 1996
Estimation of the respiration rate and oxygen transfer function utilizing a slow do sensor
C.-F. Lindberg and B. Carlsson
Systems and Control Group, Uppsala University, P.O. Box 27 S-751 03 Uppsala Sweden
In this paper a software sensor for estimating the respiration rate and the nonlinear oxygen transfer functionKLa is presented. The respiration rate and the oxygen transfer function were estimated from measurements of the dissolved oxygen concentration (DO) and airflow rate by a Kalman filter. In particular, a filtering procedure was applied for the case when the DO sensor dynamic cannot be neglected. In the estimation scheme the time varying respiration rate was modelled by a filtered random walk model, and the nonlinearKLa function was modelled with an exponential model. A numerical study illustrated the advantage of the method. Also, real data were applied to the software sensor with promising results.
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