Adaptive optimal control of MAGLEV systems: An augmented error correction technique

Yucel Aydin; Fuat Gurleyen

doi:10.1109/CEIT.2018.8751771

Adaptive optimal control of MAGLEV systems: An augmented error correction technique

Yucel Aydin, Fuat Gurleyen

Department of Control and Automation Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A method of designing adaptive controller for high performance active magnetic bearings (AMB) is represented. The approach combines two simple architectures often referred to as a Dynamic Feedback Linearization (DFL) and recent advances in adaptive control design techniques to form a new approach for AMB. The procedure enables the designer to explicitly define the desired closed loop dynamics. The result is a straight forward procedure that enables the design of a robust stabilizing adaptive controller that forces the system dynamics to the specified desired dynamics, despite disturbances, modelling uncertainties, and variations in AMB dynamics. This method also guarantees the robustness of both stability and system performance and enables the design for other unstable, magnetic levitation plants.

Original language	English
Title of host publication	2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018
Editors	Seref Naci Engin, Dogan Onur Arisoy, Muhammed Ali Oz
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538676417
DOIs	https://doi.org/10.1109/CEIT.2018.8751771
Publication status	Published - Oct 2018
Event	6th International Conference on Control Engineering and Information Technology, CEIT 2018 - Istanbul, Turkey Duration: 25 Oct 2018 → 27 Oct 2018

Publication series

Name	2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018

Conference

Conference	6th International Conference on Control Engineering and Information Technology, CEIT 2018
Country/Territory	Turkey
City	Istanbul
Period	25/10/18 → 27/10/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Adaptive control
Dynamic feedback linearization
Magnetic levitation
PI
PID type of adaptation mechanism
Robust optimal control

Access to Document

10.1109/CEIT.2018.8751771

Cite this

Aydin, Y., & Gurleyen, F. (2018). Adaptive optimal control of MAGLEV systems: An augmented error correction technique. In S. N. Engin, D. O. Arisoy, & M. A. Oz (Eds.), 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018 Article 8751771 (2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEIT.2018.8751771

Aydin, Yucel ; Gurleyen, Fuat. / Adaptive optimal control of MAGLEV systems : An augmented error correction technique. 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018. editor / Seref Naci Engin ; Dogan Onur Arisoy ; Muhammed Ali Oz. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018).

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abstract = "A method of designing adaptive controller for high performance active magnetic bearings (AMB) is represented. The approach combines two simple architectures often referred to as a Dynamic Feedback Linearization (DFL) and recent advances in adaptive control design techniques to form a new approach for AMB. The procedure enables the designer to explicitly define the desired closed loop dynamics. The result is a straight forward procedure that enables the design of a robust stabilizing adaptive controller that forces the system dynamics to the specified desired dynamics, despite disturbances, modelling uncertainties, and variations in AMB dynamics. This method also guarantees the robustness of both stability and system performance and enables the design for other unstable, magnetic levitation plants.",

keywords = "Adaptive control, Dynamic feedback linearization, Magnetic levitation, PI, PID type of adaptation mechanism, Robust optimal control",

author = "Yucel Aydin and Fuat Gurleyen",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 6th International Conference on Control Engineering and Information Technology, CEIT 2018 ; Conference date: 25-10-2018 Through 27-10-2018",

year = "2018",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Aydin, Y & Gurleyen, F 2018, Adaptive optimal control of MAGLEV systems: An augmented error correction technique. in SN Engin, DO Arisoy & MA Oz (eds), 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018., 8751771, 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018, Institute of Electrical and Electronics Engineers Inc., 6th International Conference on Control Engineering and Information Technology, CEIT 2018, Istanbul, Turkey, 25/10/18. https://doi.org/10.1109/CEIT.2018.8751771

Adaptive optimal control of MAGLEV systems: An augmented error correction technique. / Aydin, Yucel; Gurleyen, Fuat.
2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018. ed. / Seref Naci Engin; Dogan Onur Arisoy; Muhammed Ali Oz. Institute of Electrical and Electronics Engineers Inc., 2018. 8751771 (2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - A method of designing adaptive controller for high performance active magnetic bearings (AMB) is represented. The approach combines two simple architectures often referred to as a Dynamic Feedback Linearization (DFL) and recent advances in adaptive control design techniques to form a new approach for AMB. The procedure enables the designer to explicitly define the desired closed loop dynamics. The result is a straight forward procedure that enables the design of a robust stabilizing adaptive controller that forces the system dynamics to the specified desired dynamics, despite disturbances, modelling uncertainties, and variations in AMB dynamics. This method also guarantees the robustness of both stability and system performance and enables the design for other unstable, magnetic levitation plants.

AB - A method of designing adaptive controller for high performance active magnetic bearings (AMB) is represented. The approach combines two simple architectures often referred to as a Dynamic Feedback Linearization (DFL) and recent advances in adaptive control design techniques to form a new approach for AMB. The procedure enables the designer to explicitly define the desired closed loop dynamics. The result is a straight forward procedure that enables the design of a robust stabilizing adaptive controller that forces the system dynamics to the specified desired dynamics, despite disturbances, modelling uncertainties, and variations in AMB dynamics. This method also guarantees the robustness of both stability and system performance and enables the design for other unstable, magnetic levitation plants.

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KW - Dynamic feedback linearization

KW - Magnetic levitation

KW - PI

KW - PID type of adaptation mechanism

KW - Robust optimal control

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Aydin Y, Gurleyen F. Adaptive optimal control of MAGLEV systems: An augmented error correction technique. In Engin SN, Arisoy DO, Oz MA, editors, 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8751771. (2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018). doi: 10.1109/CEIT.2018.8751771

Adaptive optimal control of MAGLEV systems: An augmented error correction technique

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