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Adaptive Decoupling of Multivariable Systems Using Extremum-Seeking Approach
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-6289-5450
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-5888-8626
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-9901-5776
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
2021 (English)In: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2021, p. 01-07Conference paper, Published paper (Refereed)
Abstract [en]

Decentralized control of MIMO system is still the dominating control strategy in industry for its ease in design and maintenance, despite its known shortcomings in performance. In this article, an online decoupling scheme of MIMO processes using an extremum-seeking approach is proposed. By applying the developed method, at first, the system's loop interactions are estimated in real-time using phasor extremum seeking, and then, a pre-compensator matrix is calculated and augmented to the process by minimizing the loop interactions. The presented online decoupling approach is a model-free method, and only the plant's inputs and outputs are analyzed to provide the decentralized control protocol. Numerical results provide the effectiveness of the developed method for a two-input, two-output (TITO) control system.

Place, publisher, year, edition, pages
IEEE, 2021. p. 01-07
Keywords [en]
decentralized control, extremum seeking control, multivariable process, online decoupling, phasor estimation
National Category
Control Engineering
Research subject
Automatic Control
Identifiers
URN: urn:nbn:se:ltu:diva-87793DOI: 10.1109/ETFA45728.2021.9613455ISI: 000766992600130Scopus ID: 2-s2.0-85122957551OAI: oai:DiVA.org:ltu-87793DiVA, id: diva2:1608973
Conference
26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021), Västerås, Sweden, September 7-10, 2021
Projects
ECO-Qube
Funder
EU, Horizon 2020, 956059
Note

ISBN för värdpublikation: 978-1-7281-2989-1, 978-1-7281-2990-7

Available from: 2021-11-05 Created: 2021-11-05 Last updated: 2022-04-25Bibliographically approved

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Zaman, AmirrezaBirk, WolfgangAtta, Khalid

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