Multivariable Tracking Control of a Bioethanol Process under Uncertainties
Joint Authors
Serrano, Mario
Scaglia, Gustavo
Fernández, M. Cecilia
Pantano, M. Nadia
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-22
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Fernández, M. Cecilia& Pantano, M. Nadia& Serrano, Mario& Scaglia, Gustavo. 2020. Multivariable Tracking Control of a Bioethanol Process under Uncertainties. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1200985
Modern Language Association (MLA)
Fernández, M. Cecilia…[et al.]. Multivariable Tracking Control of a Bioethanol Process under Uncertainties. Mathematical Problems in Engineering No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1200985
American Medical Association (AMA)
Fernández, M. Cecilia& Pantano, M. Nadia& Serrano, Mario& Scaglia, Gustavo. Multivariable Tracking Control of a Bioethanol Process under Uncertainties. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1200985
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1200985