This paper presents the design and the analysis of some adaptive nonlinear control strategies for a class of depollution fermentation processes that are carried out in a continuous stirred tank bioreactor. The controllers design is based on the input-output linearization technique. The resulted control methods are applied in depollution control problem in the case of the anaerobic digestion bioprocess for which dynamical kinetics are strongly nonlinear and not exactly known, and for which not all the state variables are measurable. It must be noted that for the controlling of this very complex bioprocess it is necessary to reduce his model order. This is realized by using the singular perturbation method. Numerical simulations are included to illustrate the performances of the proposed controllers.
[1]
S. Sastry,et al.
Adaptive Control: Stability, Convergence and Robustness
,
1989
.
[2]
Alberto Isidori,et al.
Nonlinear control systems: an introduction (2nd ed.)
,
1989
.
[3]
A. Isidori,et al.
Adaptive control of linearizable systems
,
1989
.
[4]
A. Isidori.
Nonlinear Control Systems
,
1985
.
[5]
Emil Petre,et al.
On adaptive control of a biochemical process
,
2005
.
[6]
D. Dochain,et al.
On-Line Estimation and Adaptive Control of Bioreactors
,
2013
.