Multivariable Tracking Control of a Bioethanol Process under Uncertainties
- Fernández Puchol, María Cecilia
- Pantano, Maria Nadia
- Serrano, Mario Emanuel
- Scaglia, Gustavo Juan Eduardo
View in ORKG
DOIAbstract
Bioethanol is one of the most studied alternative fuels nowadays. Due to its production process complexity and the low quality of the mathematical models that describe it, a reliable controller is needed to maximize the fuel production and minimize its environmental impact, even in the presence of uncertainty. Here, a controller for tracking optimal profiles considering model errors and external perturbations is proposed. This work is an improvement of a previously presented technique. To reduce the earlier mentioned uncertainties' effect during the fermentation, some tracking error integrators are added in the control action calculation. This simple modification ensures the tracking error convergence to zero, even in the presence of uncert...