On Observability and Controllability for a Bioethanol Dynamical Model Obtained from Cocoa Industrial Waste

The aim of this paper is to study the stability, controllability and observability for a bioethanol production dynamic system. Likewise, a novel model based on the mechanism of multiple parallel coupled reactions was used to describe the kinetics of substrate, enzyme, and biomass and product formation. This model has been extended to continuous operation, which is employed as a virtual plant to enable the implementation of the properties. The maximum ethanol production conditions are obtained by manipulating the dilution rate with an optimal initial substrate concentration. A nonlinear observer is implemented to show the results of the observability analysis. Sufficient and necessary conditions for state controllability and state observability of such system are established. Results indicated that the proposed model can be applied as a way of augmenting bioethanol production, controlling and monitoring the process.