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dc.title | A comparative study of linear and nonlinear optimal control of a three-tank system | en |
dc.contributor.author | Emebu, Samuel | |
dc.contributor.author | Kubalčík, Marek | |
dc.contributor.author | Backi, Christoph Josef | |
dc.contributor.author | Janáčová, Dagmar | |
dc.relation.ispartof | ISA Transactions | |
dc.identifier.issn | 0019-0578 Scopus Sources, Sherpa/RoMEO, JCR | |
dc.date.issued | 2022 | |
dc.type | article | |
dc.language.iso | en | |
dc.publisher | ISA - Instrumentation, Systems, and Automation Society | |
dc.identifier.doi | 10.1016/j.isatra.2022.06.002 | |
dc.relation.uri | https://www.sciencedirect.com/science/article/pii/S0019057822002968 | |
dc.subject | ACADO | en |
dc.subject | Hamilton-Jacobi equation | en |
dc.subject | linear optimal control | en |
dc.subject | nonlinear optimal control | en |
dc.subject | three-tank-system | en |
dc.description.abstract | In this work, a laboratory scaled industrial interconnected nonlinear Multi-Input|Multi-Output (MIMO) three-tank system, was modelled to control the liquid levels. Ensuing the tradition in the process industry to apply linear controller to most control processes, a linear control scheme was developed for this system. However, since linear schemes are proximate to actual process models, they may not be adequate, especially for highly nonlinear systems. Therefore, a nonlinear control scheme was also developed and compared with the linear scheme. Specifically, optimal linear and nonlinear controllers were designed. In summary, the results of the two control schemes showed adequate performance. However, the linear controller had more robust control and required lesser computational demand compared to the nonlinear scheme. To enhance the computational demand of the nonlinear scheme, a third-party MATLAB toolbox, Automatic Control and Dynamic Optimization (ACADO) toolbox, that interfaces MATLAB with C++ to speed up computations was also utilised, and its results compared, and tentatively validate the earlier solved nonlinear control scheme. © 2022 ISA | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1011046 | |
utb.identifier.obdid | 43883620 | |
utb.identifier.scopus | 2-s2.0-85133224887 | |
utb.identifier.wok | 000931769800001 | |
utb.identifier.coden | ISATA | |
utb.source | j-scopus | |
dc.date.accessioned | 2022-07-18T13:31:11Z | |
dc.date.available | 2022-07-18T13:31:11Z | |
dc.description.sponsorship | IGA/CebiaTech/2022/002; Univerzita Tomáše Bati ve Zlíně | |
utb.ou | Department of Automation and Control Engineering | |
utb.ou | Department of Process Control | |
utb.contributor.internalauthor | Emebu, Samuel | |
utb.contributor.internalauthor | Kubalčík, Marek | |
utb.contributor.internalauthor | Janáčová, Dagmar | |
utb.fulltext.affiliation | Samuel Emebu a,d,* , Marek Kubalčík b , Christoph Josef Backi c , Dagmar Janáčová a a Department of Automation and Control Engineering, Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, 76005, Zlín, Czech Republic b Department of Process Control, Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, 76005, Zlín, Czech Republic c Department of Chemical Engineering, Faculty of Natural Sciences, Norwegian University of Science and Technology, Høgskoleringen 1, 7491 Trondheim, Norway d Department of Chemical Engineering, Faculty of Engineering, University of Benin, PO Box 1154, Benin City, Nigeria ∗ Corresponding author. E-mail addresses: [email protected] (S. Emebu), [email protected] (M. Kubalčík), [email protected] (C.J. Backi), [email protected] (D. Janáčová). | |
utb.fulltext.dates | Received 16 July 2021 Received in revised form 2 June 2022 Accepted 2 June 2022 Available online xxxx | |
utb.fulltext.sponsorship | This research article received support from the Faculty of Applied Informatics, and Internal Grant Agency (IGA/CebiaTech/2022/002) of the Tomas Bata University, Zlin, Czech Republic. | |
utb.scopus.affiliation | Department of Automation and Control Engineering, Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, Zlín, 76005, Czech Republic; Department of Process Control, Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, Zlín, 76005, Czech Republic; Department of Chemical Engineering, Faculty of Natural Sciences, Norwegian University of Science and Technology, Høgskoleringen 1, Trondheim, 7491, Norway; Department of Chemical Engineering, Faculty of Engineering, University of Benin, PO Box 1154, Benin City, Nigeria | |
utb.fulltext.projects | IGA/CebiaTech/2022/002 | |
utb.fulltext.faculty | Faculty of Applied Informatics | |
utb.fulltext.faculty | Faculty of Applied Informatics | |
utb.fulltext.ou | Department of Automation and Control Engineering | |
utb.fulltext.ou | Department of Process Control |