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The main ideal of the paper is to design an invariant observer for an activated sludge wastewater treatment process. The invariant observer can measure biomass concentration, substrate concentration and dissolved oxygen concentration with high accuracy and rapidity. The observer presents robust convergence property that is proved by theoretical analysis and numerical simulations (MATLAB).
This work deals with the design of an unknown inputs observer for MIMO nonlinear hybrid systems. It consists in a switching between different observer to a simultaneous estimate of the unavailable states and inputs. A nonlinear reduced model of an alternating activated sludge process, which is decomposed on an aerobic phase and an anoxic phase, is presented. They are the results of a nitrification...
An estimation of the state and the unknown inputs of the reduced nonlinear model of an activated sludge process using the Extended Kalman Filter (EKF) is proposed. First, we present the reduced nonlinear model. This model contained five state variables and four unknown inputs. For satisfying the rank condition for the construction of an EKF, one unknown input has been approximated and the daily mean...
This paper deals with activated sludge processes state estimation using moving horizon approach. In order to decrease the high computing cost of searching the global minimum of the error criterion, a descent-like approach is used. An associated model is designed so as to respect a tradeoff between model complexity and accuracy. The results point out the interest of this approach for this process and...
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