Model predictive control for switching gain adaptation in a sliding mode controller of a DC drive with nonlinear friction

Benedikt Haus; Jan Hendrik Röhl; Paolo Mercorelli; Harald Aschemann

doi:10.1109/ICSTCC.2018.8540681

Model predictive control for switching gain adaptation in a sliding mode controller of a DC drive with nonlinear friction

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Standard

Model predictive control for switching gain adaptation in a sliding mode controller of a DC drive with nonlinear friction. / Haus, Benedikt; Röhl, Jan Hendrik; Mercorelli, Paolo et al.
2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) 2018: Proceedings October 10 - 12, 2018 Sinaia, România. Hrsg. / Marian Barbu; Răzvan Şolea; Adrian Filipescu. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 2018. S. 765-770 8540681.

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Harvard

Haus, B, Röhl, JH, Mercorelli, P & Aschemann, H 2018, Model predictive control for switching gain adaptation in a sliding mode controller of a DC drive with nonlinear friction. in M Barbu, R Şolea & A Filipescu (Hrsg.), 2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) 2018: Proceedings October 10 - 12, 2018 Sinaia, România., 8540681, IEEE - Institute of Electrical and Electronics Engineers Inc., Piscataway, S. 765-770, 22nd International Conference on System Theory, Control and Computing - ICSTCC 2018, Sinaia, Rumänien, 10.10.18. https://doi.org/10.1109/ICSTCC.2018.8540681

APA

Haus, B., Röhl, J. H., Mercorelli, P., & Aschemann, H. (2018). Model predictive control for switching gain adaptation in a sliding mode controller of a DC drive with nonlinear friction. In M. Barbu, R. Şolea, & A. Filipescu (Hrsg.), 2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) 2018: Proceedings October 10 - 12, 2018 Sinaia, România (S. 765-770). Artikel 8540681 IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSTCC.2018.8540681

Vancouver

Haus B, Röhl JH, Mercorelli P, Aschemann H. Model predictive control for switching gain adaptation in a sliding mode controller of a DC drive with nonlinear friction. in Barbu M, Şolea R, Filipescu A, Hrsg., 2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) 2018: Proceedings October 10 - 12, 2018 Sinaia, România. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc. 2018. S. 765-770. 8540681 doi: 10.1109/ICSTCC.2018.8540681

Bibtex

@inbook{b80f49a68617451a99abeeb583b9e5c0,

title = "Model predictive control for switching gain adaptation in a sliding mode controller of a DC drive with nonlinear friction",

abstract = "This paper presents an optimal, robust, adaptive tuning strategy based on a linear model predictive control (LMPC) scheme for the switching gain of a sliding mode control (SMC). The LMPC employs a moving horizon, where the dynamics of the sliding-mode-controlled system is addressed. The control design is presented exemplary for a DC drive which is subject to both nonlinear friction as well as model uncertainty. The overall control has a cascade structure. In the inner control loop for the currents, a flatness-based control is used. The outer control loop involves an integral sliding mode control of the angular velocity that is combined with a LMPC that adapts the switching height of the discontinuous control action.",

keywords = "Adaptive Control, DC Drives, Flatness, Friction Compensation, Model Predictive Control, Sliding Mode Control, Engineering",

author = "Benedikt Haus and R{\"o}hl, {Jan Hendrik} and Paolo Mercorelli and Harald Aschemann",

year = "2018",

month = nov,

day = "1",

doi = "10.1109/ICSTCC.2018.8540681",

language = "English",

isbn = "978-1-5386-4445-4",

pages = "765--770",

editor = "{ Barbu}, Marian and { {\c S}olea}, R{\u a}zvan and Adrian Filipescu",

booktitle = "2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) 2018",

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

address = "United States",

note = "22nd International Conference on System Theory, Control and Computing - ICSTCC 2018 , ICSTCC ; Conference date: 10-10-2018 Through 12-10-2018",

url = "http://www.icstcc.ugal.ro/2018/",

}

RIS

TY - CHAP

T1 - Model predictive control for switching gain adaptation in a sliding mode controller of a DC drive with nonlinear friction

AU - Haus, Benedikt

AU - Röhl, Jan Hendrik

AU - Mercorelli, Paolo

AU - Aschemann, Harald

N1 - Conference code: 22

PY - 2018/11/1

Y1 - 2018/11/1

N2 - This paper presents an optimal, robust, adaptive tuning strategy based on a linear model predictive control (LMPC) scheme for the switching gain of a sliding mode control (SMC). The LMPC employs a moving horizon, where the dynamics of the sliding-mode-controlled system is addressed. The control design is presented exemplary for a DC drive which is subject to both nonlinear friction as well as model uncertainty. The overall control has a cascade structure. In the inner control loop for the currents, a flatness-based control is used. The outer control loop involves an integral sliding mode control of the angular velocity that is combined with a LMPC that adapts the switching height of the discontinuous control action.

AB - This paper presents an optimal, robust, adaptive tuning strategy based on a linear model predictive control (LMPC) scheme for the switching gain of a sliding mode control (SMC). The LMPC employs a moving horizon, where the dynamics of the sliding-mode-controlled system is addressed. The control design is presented exemplary for a DC drive which is subject to both nonlinear friction as well as model uncertainty. The overall control has a cascade structure. In the inner control loop for the currents, a flatness-based control is used. The outer control loop involves an integral sliding mode control of the angular velocity that is combined with a LMPC that adapts the switching height of the discontinuous control action.

KW - Adaptive Control

KW - DC Drives

KW - Flatness

KW - Friction Compensation

KW - Model Predictive Control

KW - Sliding Mode Control

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85059956510&partnerID=8YFLogxK

U2 - 10.1109/ICSTCC.2018.8540681

DO - 10.1109/ICSTCC.2018.8540681

M3 - Article in conference proceedings

AN - SCOPUS:85059956510

SN - 978-1-5386-4445-4

SP - 765

EP - 770

BT - 2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) 2018

A2 - Barbu, Marian

A2 - Şolea, Răzvan

A2 - Filipescu, Adrian

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

CY - Piscataway

T2 - 22nd International Conference on System Theory, Control and Computing - ICSTCC 2018

Y2 - 10 October 2018 through 12 October 2018

ER -

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