Virtual Voltage Vector-Based Deadbeat Model Predictive Torque Control for Induction Motor Drives with a Solution to Reduce Computation Burden

Saeed Lotfollahzadegan; S. Alireza Davari; Alireza Chegeni; Cristian Garcia; Jose Rodriguez

doi:10.1109/PEDSTC53976.2022.9767446

Virtual Voltage Vector-Based Deadbeat Model Predictive Torque Control for Induction Motor Drives with a Solution to Reduce Computation Burden

Saeed Lotfollahzadegan, S. Alireza Davari, Alireza Chegeni, Cristian Garcia, Jose Rodriguez

Producción científica: Contribución a los tipos de informe/libro › Contribución a la conferencia › revisión exhaustiva

Resumen

Deadbeat Model Predictive Torque Control is one of the significant control methods of induction motors that in order to remove the modulator in this method, the voltage based cost function is used to opt the closest voltage vector to the reference voltage vector. By combining this control method and using virtual voltage vectors, an effective and efficient method is created. However, with the increasing in the number of voltage vectors (real or virtual), the computation burden and complexity will be increased. Therefore, in this paper, a procedure to select the best triangular section that involves of the reference voltage vector and also reducing the number of candidate voltage vectors for placing in the voltage based cost function is presented. This procedure is based on simultaneous attention to the amplitude and angle of the reference voltage vector. The validity of the proposed methods (using virtual voltage vectors and selecting triangular section) is verified by the SIMULINK/MATLAB.

Idioma original	Inglés
Título de la publicación alojada	2022 13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	173-179
Número de páginas	7
ISBN (versión digital)	9781665420433
DOI	https://doi.org/10.1109/PEDSTC53976.2022.9767446
Estado	Publicada - 2022
Evento	13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022 - Tehran, República Islámica de Irán Duración: 1 feb. 2022 → 3 feb. 2022

Serie de la publicación

Nombre	2022 13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022

Conferencia

Conferencia	13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022
País/Territorio	República Islámica de Irán
Ciudad	Tehran
Período	1/02/22 → 3/02/22

Áreas temáticas de ASJC Scopus

Ingeniería energética y tecnologías de la energía
Energías renovables, sostenibilidad y medio ambiente
Ingeniería eléctrica y electrónica
Ingeniería mecánica

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/PEDSTC53976.2022.9767446

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Lotfollahzadegan, S., Davari, S. A., Chegeni, A., Garcia, C., & Rodriguez, J. (2022). Virtual Voltage Vector-Based Deadbeat Model Predictive Torque Control for Induction Motor Drives with a Solution to Reduce Computation Burden. En 2022 13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022 (pp. 173-179). (2022 13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PEDSTC53976.2022.9767446

Lotfollahzadegan, Saeed ; Davari, S. Alireza ; Chegeni, Alireza et al. / Virtual Voltage Vector-Based Deadbeat Model Predictive Torque Control for Induction Motor Drives with a Solution to Reduce Computation Burden. 2022 13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 173-179 (2022 13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022).

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title = "Virtual Voltage Vector-Based Deadbeat Model Predictive Torque Control for Induction Motor Drives with a Solution to Reduce Computation Burden",

abstract = "Deadbeat Model Predictive Torque Control is one of the significant control methods of induction motors that in order to remove the modulator in this method, the voltage based cost function is used to opt the closest voltage vector to the reference voltage vector. By combining this control method and using virtual voltage vectors, an effective and efficient method is created. However, with the increasing in the number of voltage vectors (real or virtual), the computation burden and complexity will be increased. Therefore, in this paper, a procedure to select the best triangular section that involves of the reference voltage vector and also reducing the number of candidate voltage vectors for placing in the voltage based cost function is presented. This procedure is based on simultaneous attention to the amplitude and angle of the reference voltage vector. The validity of the proposed methods (using virtual voltage vectors and selecting triangular section) is verified by the SIMULINK/MATLAB.",

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author = "Saeed Lotfollahzadegan and Davari, {S. Alireza} and Alireza Chegeni and Cristian Garcia and Jose Rodriguez",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022 ; Conference date: 01-02-2022 Through 03-02-2022",

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Lotfollahzadegan, S, Davari, SA, Chegeni, A, Garcia, C & Rodriguez, J 2022, Virtual Voltage Vector-Based Deadbeat Model Predictive Torque Control for Induction Motor Drives with a Solution to Reduce Computation Burden. En 2022 13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022. 2022 13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022, Institute of Electrical and Electronics Engineers Inc., pp. 173-179, 13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022, Tehran, República Islámica de Irán, 1/02/22. https://doi.org/10.1109/PEDSTC53976.2022.9767446

Virtual Voltage Vector-Based Deadbeat Model Predictive Torque Control for Induction Motor Drives with a Solution to Reduce Computation Burden. / Lotfollahzadegan, Saeed; Davari, S. Alireza; Chegeni, Alireza et al.
2022 13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 173-179 (2022 13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022).

Producción científica: Contribución a los tipos de informe/libro › Contribución a la conferencia › revisión exhaustiva

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AU - Lotfollahzadegan, Saeed

AU - Davari, S. Alireza

AU - Chegeni, Alireza

AU - Garcia, Cristian

AU - Rodriguez, Jose

PY - 2022

Y1 - 2022

N2 - Deadbeat Model Predictive Torque Control is one of the significant control methods of induction motors that in order to remove the modulator in this method, the voltage based cost function is used to opt the closest voltage vector to the reference voltage vector. By combining this control method and using virtual voltage vectors, an effective and efficient method is created. However, with the increasing in the number of voltage vectors (real or virtual), the computation burden and complexity will be increased. Therefore, in this paper, a procedure to select the best triangular section that involves of the reference voltage vector and also reducing the number of candidate voltage vectors for placing in the voltage based cost function is presented. This procedure is based on simultaneous attention to the amplitude and angle of the reference voltage vector. The validity of the proposed methods (using virtual voltage vectors and selecting triangular section) is verified by the SIMULINK/MATLAB.

AB - Deadbeat Model Predictive Torque Control is one of the significant control methods of induction motors that in order to remove the modulator in this method, the voltage based cost function is used to opt the closest voltage vector to the reference voltage vector. By combining this control method and using virtual voltage vectors, an effective and efficient method is created. However, with the increasing in the number of voltage vectors (real or virtual), the computation burden and complexity will be increased. Therefore, in this paper, a procedure to select the best triangular section that involves of the reference voltage vector and also reducing the number of candidate voltage vectors for placing in the voltage based cost function is presented. This procedure is based on simultaneous attention to the amplitude and angle of the reference voltage vector. The validity of the proposed methods (using virtual voltage vectors and selecting triangular section) is verified by the SIMULINK/MATLAB.

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Lotfollahzadegan S, Davari SA, Chegeni A, Garcia C, Rodriguez J. Virtual Voltage Vector-Based Deadbeat Model Predictive Torque Control for Induction Motor Drives with a Solution to Reduce Computation Burden. En 2022 13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 173-179. (2022 13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022). doi: 10.1109/PEDSTC53976.2022.9767446

Virtual Voltage Vector-Based Deadbeat Model Predictive Torque Control for Induction Motor Drives with a Solution to Reduce Computation Burden

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