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A geometric approach for controlling an electromagnetic actuator with the help of a linear Model Predictive Control

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Standard

A geometric approach for controlling an electromagnetic actuator with the help of a linear Model Predictive Control. / Mercorelli, Paolo.
Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society. IEEE - Institute of Electrical and Electronics Engineers Inc., 2013. p. 3234 - 3239 6699646 (Conference of the IEEE Industrial Electronics Society).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Harvard

Mercorelli, P 2013, A geometric approach for controlling an electromagnetic actuator with the help of a linear Model Predictive Control. in Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society., 6699646, Conference of the IEEE Industrial Electronics Society, IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 3234 - 3239, 39th Annual Conference of the IEEE, Industrial Electronics Society - IECON 2013, Vienna, Austria, 10.11.13. https://doi.org/10.1109/IECON.2013.6699646

APA

Mercorelli, P. (2013). A geometric approach for controlling an electromagnetic actuator with the help of a linear Model Predictive Control. In Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society (pp. 3234 - 3239). Article 6699646 (Conference of the IEEE Industrial Electronics Society). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECON.2013.6699646

Vancouver

Mercorelli P. A geometric approach for controlling an electromagnetic actuator with the help of a linear Model Predictive Control. In Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society. IEEE - Institute of Electrical and Electronics Engineers Inc. 2013. p. 3234 - 3239. 6699646. (Conference of the IEEE Industrial Electronics Society). doi: 10.1109/IECON.2013.6699646

Bibtex

@inbook{ca6747e7d48f4fc19b8c876231a5e4fe,
title = "A geometric approach for controlling an electromagnetic actuator with the help of a linear Model Predictive Control",
abstract = "In permanent magnetic machines the nonlinearity due to the quadratic terms of the current makes difficulties in the control system. In order to cancel the nonlinearity, a strategy based on a pre-compensation action, which is conceived through two input partition matrices is presented. After canceling the nonlinearity, a Model Predictive Control is used to obtain a positioning of the actuator. Simulation results are reported to validate the proposed technique.",
keywords = "Engineering, Electromagnetic actuators, Geometric approaches, Linear modeling, Permanent magnetic machines, Pre-compensation",
author = "Paolo Mercorelli",
year = "2013",
doi = "10.1109/IECON.2013.6699646",
language = "English",
isbn = "9781479902248",
series = "Conference of the IEEE Industrial Electronics Society",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
pages = "3234 -- 3239",
booktitle = "Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society",
address = "United States",
note = "39th Annual Conference of the IEEE, Industrial Electronics Society - IECON 2013, IECON 2013 ; Conference date: 10-11-2013 Through 13-11-2013",
url = "http://www.iecon2013.org/",

}

RIS

TY - CHAP

T1 - A geometric approach for controlling an electromagnetic actuator with the help of a linear Model Predictive Control

AU - Mercorelli, Paolo

N1 - Conference code: 39

PY - 2013

Y1 - 2013

N2 - In permanent magnetic machines the nonlinearity due to the quadratic terms of the current makes difficulties in the control system. In order to cancel the nonlinearity, a strategy based on a pre-compensation action, which is conceived through two input partition matrices is presented. After canceling the nonlinearity, a Model Predictive Control is used to obtain a positioning of the actuator. Simulation results are reported to validate the proposed technique.

AB - In permanent magnetic machines the nonlinearity due to the quadratic terms of the current makes difficulties in the control system. In order to cancel the nonlinearity, a strategy based on a pre-compensation action, which is conceived through two input partition matrices is presented. After canceling the nonlinearity, a Model Predictive Control is used to obtain a positioning of the actuator. Simulation results are reported to validate the proposed technique.

KW - Engineering

KW - Electromagnetic actuators

KW - Geometric approaches

KW - Linear modeling

KW - Permanent magnetic machines

KW - Pre-compensation

UR - http://www.scopus.com/inward/record.url?scp=84893631335&partnerID=8YFLogxK

U2 - 10.1109/IECON.2013.6699646

DO - 10.1109/IECON.2013.6699646

M3 - Article in conference proceedings

SN - 9781479902248

T3 - Conference of the IEEE Industrial Electronics Society

SP - 3234

EP - 3239

BT - Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

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

T2 - 39th Annual Conference of the IEEE, Industrial Electronics Society - IECON 2013

Y2 - 10 November 2013 through 13 November 2013

ER -

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Fernandes, F. M., Dos Santos, M. F., De Morais, M. H. F., Lima, J., Pereira, A. I. & Mercorelli, P., 2025, Proceedings of the 2025 26th International Carpathian Control Conference (ICCC): Grandhotel Starý Smokovec, High Tatras, Starý Smokovec, Slovak Republic, 19-21 May 2025. Kacur, J., Skovranek, T., Laciak, M. & Mojzisova, A. (eds.). Piscataway: Institute of Electrical and Electronics Engineers Inc., 6 p. (International Carpathian Control Conference, ICCC; vol. 26).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

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Li, X., Zhang, Q., Gu, H., Othmen, S., Asklany, S., Lhioui, C., Elrashidi, A. & Mercorelli, P., 07.2025, In: PLoS ONE. 20, 7, 22 p., e0327249.

Research output: Journal contributions › Journal articles › Research › peer-review

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Pimentel, G. O., Santos, M. F. D., Lima, J., Mercorelli, P. & Fernandes, F. M., 15.01.2025, In: Sensors. 25, 2, 27 p., 479.

Research output: Journal contributions › Journal articles › Research › peer-review

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Research output: Journal contributions › Journal articles › Research › peer-review

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Kurniawan, S. & Mercorelli, P., 27.05.2025, 5th Congress on Intelligent Systems, CIS 2024: Volume 1. Kumar, S., Mary Anita, E. A., Kim, J. H. & Nagar, A. (eds.). Springer Science and Business Media Deutschland, p. 309-320 12 p. (Lecture Notes in Networks and Systems; vol. 1275).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

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