Control of a Multi-Stage Continuous Fermentor for the study of the wine fermentation

Abstract

APPLICATION PAPER PRIZE (APP)International audienceYeasts play a central role in the wine making process. To study the yeasts in a stable environment and physiological state, a Multi-Stage Continuous Fermentor (MSCF) has been designed that mimics steps of the batch fermentation process. In this paper, the problem of the control of the sugar concentrations in each of the four reactors of the MSCF is considered. The cascade structure of the device leads to a constraint on the input flow rates (the control variables). A control strategy based on a linearizing control law coupled with a state observer and an anti windup component is proposed and finally implemented on the experimental process

Simplification of dynamic problems by time-scale transformation: application to the nonlinear control with input positive constraints

“…This problem has already been considered in Casenave et al (2014) where the method of Doyle has been applied. In the present paper, we propose to test the TST controller (32) with γ defined by (34-38) and f defined by (31).…”

Control of a class of nonlinear cascade systems with input-dependent saturations

“…with Q m and Q M the minimal and maximal flow rates which can be applied. An example of such kind of system can be found in [10,11]. The classical model for such a system is given by, ∀j = 1 : n:…”

“…For the numerical simulation, we have considered a series of n = 4 reactors, as in the multi-stage continuous fermentor presented in [10,11]. The values of the parameters of the model are given here after:…”

“…The saturation constraint considered is a constraint of order: the control input of one subsystem has to be smaller than the control input of the preceding one (in the cascade structure). This class of systems include interconnected continuous reactors device such as multi-stage continuous fermentor (MSCF) [10,11]. Indeed, the input flow rates of each reactor of the MSCF, which are taken as control inputs, are constrained, the input flow rate of one reactor being necessarily smaller than the output flow rate of the preceding one.…”

Robust stabilization of a two‐stage continuous anaerobic bioreactor system

“…However, the optimal dilution rate that maximizes the biogas production rate for increased profitability would be about as high as the methanogens’ maximum growth rate and in this case, the stability region around the operating point would be too narrow. Due to this reason, feedback stabilization of anaerobic digestion processes is of major importance and has attracted the interest of the control community . Numerous control strategies have been proposed for the traditional one‐stage process .…”