Communication Dans Un Congrès Année : 2017

Anaerobic Digester Optimization Using Extremum Seeking and Model-Based Algorithms. A Comparative Study

Résumé

The paper deals with the optimization of an anaerobic digester with respect to a performance criterion which targets the maximization of the methane production. It is penalized by the environment pollution with the discharged water. The paper includes a comparative study regarding the performances of two optimization approaches: the extremum seeking control, in stochastic and deterministic versions, and the model-based control respectively. The latter uses a characteristic of the optimal regimes which supplies the optimal setpoint (the dilution rate) as a function of the substrate concentration in the inflow, estimated by an extended Kalman filter.

Dates et versions

hal-01941295 , version 1 (30-11-2018)

Identifiants

Citer

S. Caraman, M. Barbu, G. Ifrim, M. Titica, E. Ceanga. Anaerobic Digester Optimization Using Extremum Seeking and Model-Based Algorithms. A Comparative Study. 20th IFAC World Congress, Jul 2017, Toulouse, France. pp.12673-12678, ⟨10.1016/j.ifacol.2017.08.2245⟩. ⟨hal-01941295⟩
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