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

Kontrol ve Otomasyon Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018
Editörler	Seref Naci Engin, Dogan Onur Arisoy, Muhammed Ali Oz
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781538676417
DOI'lar	https://doi.org/10.1109/CEIT.2018.8751771
Yayın durumu	Yayınlandı - Eki 2018
Etkinlik	6th International Conference on Control Engineering and Information Technology, CEIT 2018 - Istanbul, Türkiye Süre: 25 Eki 2018 → 27 Eki 2018

Yayın serisi

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	6th International Conference on Control Engineering and Information Technology, CEIT 2018
Ülke/Bölge	Türkiye
Şehir	Istanbul
Periyot	25/10/18 → 27/10/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

Belgeye Erişim

10.1109/CEIT.2018.8751771

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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 Makale 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. editör / 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).

@inproceedings{73b45bced8a84a04b016c16e843e1758,

title = "Adaptive optimal control of MAGLEV systems: An augmented error correction technique",

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",

month = oct,

doi = "10.1109/CEIT.2018.8751771",

language = "English",

series = "2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018",

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

editor = "Engin, \{Seref Naci\} and Arisoy, \{Dogan Onur\} and Oz, \{Muhammed Ali\}",

booktitle = "2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018",

address = "United States",

}

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, Türkiye, 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).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Adaptive optimal control of MAGLEV systems

T2 - 6th International Conference on Control Engineering and Information Technology, CEIT 2018

AU - Aydin, Yucel

AU - Gurleyen, Fuat

PY - 2018/10

Y1 - 2018/10

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.

KW - Adaptive control

KW - Dynamic feedback linearization

KW - Magnetic levitation

KW - PI

KW - PID type of adaptation mechanism

KW - Robust optimal control

UR - https://www.scopus.com/pages/publications/85069172509

U2 - 10.1109/CEIT.2018.8751771

DO - 10.1109/CEIT.2018.8751771

M3 - Conference contribution

AN - SCOPUS:85069172509

T3 - 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018

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

A2 - Engin, Seref Naci

A2 - Arisoy, Dogan Onur

A2 - Oz, Muhammed Ali

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 25 October 2018 through 27 October 2018

ER -

Aydin Y, Gurleyen F. Adaptive optimal control of MAGLEV systems: An augmented error correction technique. In Engin SN, Arisoy DO, Oz MA, editörler, 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

Özet

Yayın serisi

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Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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