Data-Driven Internal Model Control of an Anaerobic Digestion Process

This paper proposes a data-based Internal Model Control approach applied to an Anaerobic Digestion Process. An important aspect is the choice of the reference model. This model must be chosen considering the following aspects: essential information on the dynamics of the closed-loop process; the level of dynamic errors resulting in closed loop for the adopted reference model; the maximum amplitude of the disturbance that would cause a major deterioration of the regulation quality. The approach proposed in the paper is validated through numerical simulation using the Anaerobic Digestion Model No. 1.