Latest Advances of Model Predictive Control in Electrical Drives. Part I: Basic Concepts and Advanced Strategies

Jose Rodriguez; Cristian Garcia; Andres Mora; Freddy Flores-Bahamonde; Pablo Acuna; Mateja Novak; Yongchang Zhang; Luca Tarisciotti; Alireza Davari; Zhenbin Zhang; Fengxiang Wang; Margarita Norambuena; Tomislav Dragicevic; Frede Blaabjerg; Tobias Geyer; Ralph Kennel; Davood Arab Khaburi; Mohamed Abdelrahem; Zhen Zhang; Nenad Mijatovic; Ricardo P. Aguilera

doi:10.1109/TPEL.2021.3121532

Latest Advances of Model Predictive Control in Electrical Drives. Part I: Basic Concepts and Advanced Strategies

Jose Rodriguez, Cristian Garcia, Andres Mora, Freddy Flores-Bahamonde, Pablo Acuna, Mateja Novak, Yongchang Zhang, Luca Tarisciotti, Alireza Davari, Zhenbin Zhang, Fengxiang Wang, Margarita Norambuena, Tomislav Dragicevic, Frede Blaabjerg, Tobias Geyer, Ralph Kennel, Davood Arab Khaburi, Mohamed Abdelrahem, Zhen Zhang, Nenad MijatovicRicardo P. Aguilera

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Abstract

The application of Model Predictive Control (MPC) in electrical drives has been studied extensively in the last decade. This paper presents what the authors consider the most relevant contributions published in the last years, mainly focusing on three relevant issues: weighting factor calculation when multiple objectives are utilized in the cost function, current/torque harmonic distortion optimization when the power converter switching frequency is reduced, and robustness improvement under parameters uncertainties. Therefore, this paper aims to enable readers to have a more precise overview while facilitating their future research work in this exciting area.

Original language	English
Journal	IEEE Transactions on Power Electronics
Volume	37
Issue number	4
Pages (from-to)	3927 - 3942
ISSN	0885-8993
DOIs	https://doi.org/10.1109/TPEL.2021.3121532
Publication status	Published - 2021

Keywords

Model predictive control
Variable speed drives
Weighting factors
Electrical Machines

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Rodriguez, J., Garcia, C., Mora, A., Flores-Bahamonde, F., Acuna, P., Novak, M., Zhang, Y., Tarisciotti, L., Davari, A., Zhang, Z., Wang, F., Norambuena, M., Dragicevic, T., Blaabjerg, F., Geyer, T., Kennel, R., Arab Khaburi, D., Abdelrahem, M., Zhang, Z., ... Aguilera, R. P. (2021). Latest Advances of Model Predictive Control in Electrical Drives. Part I: Basic Concepts and Advanced Strategies. IEEE Transactions on Power Electronics, 37(4), 3927 - 3942. https://doi.org/10.1109/TPEL.2021.3121532

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title = "Latest Advances of Model Predictive Control in Electrical Drives. Part I: Basic Concepts and Advanced Strategies",

abstract = "The application of Model Predictive Control (MPC) in electrical drives has been studied extensively in the last decade. This paper presents what the authors consider the most relevant contributions published in the last years, mainly focusing on three relevant issues: weighting factor calculation when multiple objectives are utilized in the cost function, current/torque harmonic distortion optimization when the power converter switching frequency is reduced, and robustness improvement under parameters uncertainties. Therefore, this paper aims to enable readers to have a more precise overview while facilitating their future research work in this exciting area.",

keywords = "Model predictive control, Variable speed drives, Weighting factors, Electrical Machines",

author = "Jose Rodriguez and Cristian Garcia and Andres Mora and Freddy Flores-Bahamonde and Pablo Acuna and Mateja Novak and Yongchang Zhang and Luca Tarisciotti and Alireza Davari and Zhenbin Zhang and Fengxiang Wang and Margarita Norambuena and Tomislav Dragicevic and Frede Blaabjerg and Tobias Geyer and Ralph Kennel and {Arab Khaburi}, Davood and Mohamed Abdelrahem and Zhen Zhang and Nenad Mijatovic and Aguilera, {Ricardo P.}",

year = "2021",

doi = "10.1109/TPEL.2021.3121532",

language = "English",

volume = "37",

pages = "3927 -- 3942",

journal = "IEEE Transactions on Power Electronics",

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Rodriguez, J, Garcia, C, Mora, A, Flores-Bahamonde, F, Acuna, P, Novak, M, Zhang, Y, Tarisciotti, L, Davari, A, Zhang, Z, Wang, F, Norambuena, M, Dragicevic, T, Blaabjerg, F, Geyer, T, Kennel, R, Arab Khaburi, D, Abdelrahem, M, Zhang, Z, Mijatovic, N & Aguilera, RP 2021, 'Latest Advances of Model Predictive Control in Electrical Drives. Part I: Basic Concepts and Advanced Strategies', IEEE Transactions on Power Electronics, vol. 37, no. 4, pp. 3927 - 3942. https://doi.org/10.1109/TPEL.2021.3121532

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T1 - Latest Advances of Model Predictive Control in Electrical Drives. Part I: Basic Concepts and Advanced Strategies

AU - Rodriguez, Jose

AU - Garcia, Cristian

AU - Mora, Andres

AU - Flores-Bahamonde, Freddy

AU - Acuna, Pablo

AU - Novak, Mateja

AU - Zhang, Yongchang

AU - Tarisciotti, Luca

AU - Davari, Alireza

AU - Zhang, Zhenbin

AU - Wang, Fengxiang

AU - Norambuena, Margarita

AU - Dragicevic, Tomislav

AU - Blaabjerg, Frede

AU - Geyer, Tobias

AU - Kennel, Ralph

AU - Arab Khaburi, Davood

AU - Abdelrahem, Mohamed

AU - Zhang, Zhen

AU - Mijatovic, Nenad

AU - Aguilera, Ricardo P.

PY - 2021

Y1 - 2021

N2 - The application of Model Predictive Control (MPC) in electrical drives has been studied extensively in the last decade. This paper presents what the authors consider the most relevant contributions published in the last years, mainly focusing on three relevant issues: weighting factor calculation when multiple objectives are utilized in the cost function, current/torque harmonic distortion optimization when the power converter switching frequency is reduced, and robustness improvement under parameters uncertainties. Therefore, this paper aims to enable readers to have a more precise overview while facilitating their future research work in this exciting area.

AB - The application of Model Predictive Control (MPC) in electrical drives has been studied extensively in the last decade. This paper presents what the authors consider the most relevant contributions published in the last years, mainly focusing on three relevant issues: weighting factor calculation when multiple objectives are utilized in the cost function, current/torque harmonic distortion optimization when the power converter switching frequency is reduced, and robustness improvement under parameters uncertainties. Therefore, this paper aims to enable readers to have a more precise overview while facilitating their future research work in this exciting area.

KW - Model predictive control

KW - Variable speed drives

KW - Weighting factors

KW - Electrical Machines

U2 - 10.1109/TPEL.2021.3121532

DO - 10.1109/TPEL.2021.3121532

M3 - Journal article

SN - 0885-8993

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EP - 3942

JO - IEEE Transactions on Power Electronics

JF - IEEE Transactions on Power Electronics

IS - 4

ER -

Latest Advances of Model Predictive Control in Electrical Drives. Part I: Basic Concepts and Advanced Strategies

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