Robustness Analysis of Long-Horizon Direct Model Predictive Control: Permanent Magnet Synchronous Motor Drives

Ludovico Ortombina; Petros Karamanakos; Mauro Zigliotto

doi:10.1109/COMPEL49091.2020.9265855

Robustness Analysis of Long-Horizon Direct Model Predictive Control: Permanent Magnet Synchronous Motor Drives

Ludovico Ortombina
, Petros Karamanakos
, Mauro Zigliotto

Sähkötekniikka

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

13 Sitaatiot (Scopus)

38 Lataukset (Pure)

Abstrakti

Model predictive control (MPC) lacks an integrating element. Thus, parameter mismatches can deteriorate its steady-state performance. To address this issue and enhance the robustness of MPC, analternative formulation of the prediction model is discussed in this paper. This model introduces an integrator to the optimization problem without increasing its size and consequently its computational complexity. An in-depth analysis of the effect of parameter mismatches on the control performance is performed when both the conventional and the proposed prediction model are used. Specifically, the aforementioned analysis is carried out for a range of switching frequencies as well as prediction horizon lengths, while a permanent magnet synchronous motor (PMSM) drive is used as a case study.

Alkuperäiskieli	Englanti
Otsikko	2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020
Kustantaja	IEEE
Sivumäärä	8
ISBN (elektroninen)	9781728171609
DOI - pysyväislinkit	https://doi.org/10.1109/COMPEL49091.2020.9265855
Tila	Julkaistu - 9 marrask. 2020
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE Workshop on Control and Modeling for Power Electronics - Aalborg, Tanska Kesto: 9 marrask. 2020 → 12 marrask. 2020

Julkaisusarja

Nimi	2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020

Conference

Conference	IEEE Workshop on Control and Modeling for Power Electronics
Maa/Alue	Tanska
Kaupunki	Aalborg
Ajanjakso	9/11/20 → 12/11/20

Julkaisufoorumi-taso

Jufo-taso 0

!!ASJC Scopus subject areas

Control and Optimization
Modelling and Simulation
Energy Engineering and Power Technology
Electrical and Electronic Engineering

Pääsy asiakirjaan

10.1109/COMPEL49091.2020.9265855

Robustness Analysis of Long-Horizon Direct Model Predictive Control - Permanent Magnet Synchronous Motor Drives
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Accepted author manuscript, 503 KBLisenssi: Unspecified

https://urn.fi/URN:NBN:fi:tuni-202111188486Lisenssi: Unspecified

Siteeraa tätä

Ortombina, L., Karamanakos, P., & Zigliotto, M. (2020). Robustness Analysis of Long-Horizon Direct Model Predictive Control: Permanent Magnet Synchronous Motor Drives. teoksessa 2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020 (2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020). IEEE. https://doi.org/10.1109/COMPEL49091.2020.9265855

@inproceedings{a74b61c7bad342d4aeea1a28f4810b28,

title = "Robustness Analysis of Long-Horizon Direct Model Predictive Control: Permanent Magnet Synchronous Motor Drives",

abstract = "Model predictive control (MPC) lacks an integrating element. Thus, parameter mismatches can deteriorate its steady-state performance. To address this issue and enhance the robustness of MPC, analternative formulation of the prediction model is discussed in this paper. This model introduces an integrator to the optimization problem without increasing its size and consequently its computational complexity. An in-depth analysis of the effect of parameter mismatches on the control performance is performed when both the conventional and the proposed prediction model are used. Specifically, the aforementioned analysis is carried out for a range of switching frequencies as well as prediction horizon lengths, while a permanent magnet synchronous motor (PMSM) drive is used as a case study.",

keywords = "model predictive control (MPC), parameter sensitivity, permanent magnet synchronous machine (PMSM), robustness",

author = "Ludovico Ortombina and Petros Karamanakos and Mauro Zigliotto",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; IEEE Workshop on Control and Modeling for Power Electronics ; Conference date: 09-11-2020 Through 12-11-2020",

year = "2020",

month = nov,

day = "9",

doi = "10.1109/COMPEL49091.2020.9265855",

language = "English",

series = "2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020",

publisher = "IEEE",

booktitle = "2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020",

address = "United States",

}

Ortombina, L, Karamanakos, P & Zigliotto, M 2020, Robustness Analysis of Long-Horizon Direct Model Predictive Control: Permanent Magnet Synchronous Motor Drives. julkaisussa 2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020. 2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020, IEEE, IEEE Workshop on Control and Modeling for Power Electronics, Aalborg, Tanska, 9/11/20. https://doi.org/10.1109/COMPEL49091.2020.9265855

Robustness Analysis of Long-Horizon Direct Model Predictive Control: Permanent Magnet Synchronous Motor Drives. / Ortombina, Ludovico; Karamanakos, Petros; Zigliotto, Mauro.
2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020. IEEE, 2020. (2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

TY - GEN

T1 - Robustness Analysis of Long-Horizon Direct Model Predictive Control

T2 - IEEE Workshop on Control and Modeling for Power Electronics

AU - Ortombina, Ludovico

AU - Karamanakos, Petros

AU - Zigliotto, Mauro

PY - 2020/11/9

Y1 - 2020/11/9

N2 - Model predictive control (MPC) lacks an integrating element. Thus, parameter mismatches can deteriorate its steady-state performance. To address this issue and enhance the robustness of MPC, analternative formulation of the prediction model is discussed in this paper. This model introduces an integrator to the optimization problem without increasing its size and consequently its computational complexity. An in-depth analysis of the effect of parameter mismatches on the control performance is performed when both the conventional and the proposed prediction model are used. Specifically, the aforementioned analysis is carried out for a range of switching frequencies as well as prediction horizon lengths, while a permanent magnet synchronous motor (PMSM) drive is used as a case study.

AB - Model predictive control (MPC) lacks an integrating element. Thus, parameter mismatches can deteriorate its steady-state performance. To address this issue and enhance the robustness of MPC, analternative formulation of the prediction model is discussed in this paper. This model introduces an integrator to the optimization problem without increasing its size and consequently its computational complexity. An in-depth analysis of the effect of parameter mismatches on the control performance is performed when both the conventional and the proposed prediction model are used. Specifically, the aforementioned analysis is carried out for a range of switching frequencies as well as prediction horizon lengths, while a permanent magnet synchronous motor (PMSM) drive is used as a case study.

KW - model predictive control (MPC)

KW - parameter sensitivity

KW - permanent magnet synchronous machine (PMSM)

KW - robustness

U2 - 10.1109/COMPEL49091.2020.9265855

DO - 10.1109/COMPEL49091.2020.9265855

M3 - Conference contribution

AN - SCOPUS:85098593071

T3 - 2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020

BT - 2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020

PB - IEEE

Y2 - 9 November 2020 through 12 November 2020

ER -

Ortombina L, Karamanakos P, Zigliotto M. Robustness Analysis of Long-Horizon Direct Model Predictive Control: Permanent Magnet Synchronous Motor Drives. julkaisussa 2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020. IEEE. 2020. (2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020). doi: 10.1109/COMPEL49091.2020.9265855

Robustness Analysis of Long-Horizon Direct Model Predictive Control: Permanent Magnet Synchronous Motor Drives

Abstrakti

Julkaisusarja

Conference

Julkaisufoorumi-taso

!!ASJC Scopus subject areas

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