info:eu-repo/semantics/article
Multivariable Tracking Control of a Bioethanol Process under Uncertainties
Fecha
2020-01Registro en:
Fernández Puchol, María Cecilia; Pantano, Maria Nadia; Serrano, Mario Emanuel; Scaglia, Gustavo Juan Eduardo; Multivariable Tracking Control of a Bioethanol Process under Uncertainties; Hindawi Publishing Corporation; Mathematical Problems in Engineering; 2020; 1-2020; 1-17
1563-5147
1024-123X
CONICET Digital
CONICET
Autor
Fernández Puchol, María Cecilia
Pantano, Maria Nadia
Serrano, Mario Emanuel
Scaglia, Gustavo Juan Eduardo
Resumen
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 uncertainties (demonstration available). Different tests are carried out and a performance comparison with the original controller is shown to highlight improvements in the tracking error of up to 98% when integrators are incorporated. Furthermore, a classical PI controller is contrasted with the proposed techniques.