Estimation Based Control Strategies for an Aerobic Bioprocess

This paper presents two estimation based control strategies for an aerobic process used in wastewater biological treatment carried out inside a CSTR (Continuous Stirred Tank Reactor). Our control objective is to keep the effluent pollutant concentration at a desired low level, and also to ensure that the dissolved oxygen concentration follows some imposed references. Therefore we propose two new control schemes for robust-adaptive and model predictive control, taking into account the Bayesian based weighted values of the state’s estimations provided by an interval observer and a parameter estimator of the unknown growth rate. A comparison of the effectiveness of the two approaches is illustrated by numerical simulations performed under different conditions related to some degree of uncertainness of a continuous wastewater treatment bioprocess.