Three-Vector Based Model Predictive Control of a Permanent Magnet Synchronous Machine

Haitham Elsayed; Ralph Kennel; Mohamed Abdelrahem

doi:10.1109/CPERE56564.2023.10119574

Three-Vector Based Model Predictive Control of a Permanent Magnet Synchronous Machine

Haitham Elsayed, Ralph Kennel, Mohamed Abdelrahem

Chair of High-Power Converter Systems

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

Abstract

This research work addresses the model predictive control (MPC) problem. In general, the MPC approach is a high computational burden algorithm. On the other hand, MPC can offer a lot of other advantages like dealing with nonlinearities in the system, introducing constraints,..etc. Therefore, the main work in this paper is to investigate the three-vector MPC which offers an improved total harmonic distortion (THD) as well as a lower torque ripple, while maintaining a reasonable computational burden. On the other hand, in order to overcome the dependency of the MPC on the model parameters an inductance observer is introduced to observe the disturbances on the inductance during the operation.

Original language	English
Title of host publication	IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665452335
DOIs	https://doi.org/10.1109/CPERE56564.2023.10119574
State	Published - 2023
Event	2023 IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023 - Luxor, Egypt Duration: 19 Feb 2023 → 21 Feb 2023

Publication series

Name	IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023

Conference

Conference	2023 IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023
Country/Territory	Egypt
City	Luxor
Period	19/02/23 → 21/02/23

Keywords

Parameter Estimation
Permanent Magnet Synchronous Machine (PMSM)
Predictive Control

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CPERE56564.2023.10119574

Cite this

Elsayed, H., Kennel, R., & Abdelrahem, M. (2023). Three-Vector Based Model Predictive Control of a Permanent Magnet Synchronous Machine. In IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023 (IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CPERE56564.2023.10119574

@inproceedings{a5b3498778aa47b894864e90c2159956,

title = "Three-Vector Based Model Predictive Control of a Permanent Magnet Synchronous Machine",

abstract = "This research work addresses the model predictive control (MPC) problem. In general, the MPC approach is a high computational burden algorithm. On the other hand, MPC can offer a lot of other advantages like dealing with nonlinearities in the system, introducing constraints,..etc. Therefore, the main work in this paper is to investigate the three-vector MPC which offers an improved total harmonic distortion (THD) as well as a lower torque ripple, while maintaining a reasonable computational burden. On the other hand, in order to overcome the dependency of the MPC on the model parameters an inductance observer is introduced to observe the disturbances on the inductance during the operation.",

keywords = "Parameter Estimation, Permanent Magnet Synchronous Machine (PMSM), Predictive Control",

author = "Haitham Elsayed and Ralph Kennel and Mohamed Abdelrahem",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023 ; Conference date: 19-02-2023 Through 21-02-2023",

year = "2023",

doi = "10.1109/CPERE56564.2023.10119574",

language = "English",

series = "IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023",

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

booktitle = "IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023",

}

Elsayed, H, Kennel, R & Abdelrahem, M 2023, Three-Vector Based Model Predictive Control of a Permanent Magnet Synchronous Machine. in IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023. IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023, Luxor, Egypt, 19/02/23. https://doi.org/10.1109/CPERE56564.2023.10119574

Three-Vector Based Model Predictive Control of a Permanent Magnet Synchronous Machine. / Elsayed, Haitham; Kennel, Ralph; Abdelrahem, Mohamed.
IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023).

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

TY - GEN

T1 - Three-Vector Based Model Predictive Control of a Permanent Magnet Synchronous Machine

AU - Elsayed, Haitham

AU - Kennel, Ralph

AU - Abdelrahem, Mohamed

PY - 2023

Y1 - 2023

N2 - This research work addresses the model predictive control (MPC) problem. In general, the MPC approach is a high computational burden algorithm. On the other hand, MPC can offer a lot of other advantages like dealing with nonlinearities in the system, introducing constraints,..etc. Therefore, the main work in this paper is to investigate the three-vector MPC which offers an improved total harmonic distortion (THD) as well as a lower torque ripple, while maintaining a reasonable computational burden. On the other hand, in order to overcome the dependency of the MPC on the model parameters an inductance observer is introduced to observe the disturbances on the inductance during the operation.

AB - This research work addresses the model predictive control (MPC) problem. In general, the MPC approach is a high computational burden algorithm. On the other hand, MPC can offer a lot of other advantages like dealing with nonlinearities in the system, introducing constraints,..etc. Therefore, the main work in this paper is to investigate the three-vector MPC which offers an improved total harmonic distortion (THD) as well as a lower torque ripple, while maintaining a reasonable computational burden. On the other hand, in order to overcome the dependency of the MPC on the model parameters an inductance observer is introduced to observe the disturbances on the inductance during the operation.

KW - Parameter Estimation

KW - Permanent Magnet Synchronous Machine (PMSM)

KW - Predictive Control

UR - http://www.scopus.com/inward/record.url?scp=85160207210&partnerID=8YFLogxK

U2 - 10.1109/CPERE56564.2023.10119574

DO - 10.1109/CPERE56564.2023.10119574

M3 - Conference contribution

AN - SCOPUS:85160207210

T3 - IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023

BT - IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Conference on Power Electronics and Renewable Energy, CPERE 2023

Y2 - 19 February 2023 through 21 February 2023

ER -

Three-Vector Based Model Predictive Control of a Permanent Magnet Synchronous Machine

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this