In this paper, a method for on-line estimation of the oxygen transfer rate (KLa) and the respiration rate is successfully evaluated on real data from the municipal sewage plant Kungsängen in Uppsala, Sweden. Possible applications for the estimator include process diagnosis and model based control. The estimator is based on a Kalman filter approach where the oxygen transfer ra.te is modelled with a static, constrained, piecewise linear model and the respiration rate is modelled as a random walk, The paper also presents experience with using an autotuning controller for the control of the dissolved oxygen concentration.

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