Generalized Sequential Model Predictive Control of Induction Motor Drives

Yongchang Zhang, Boyue Zhang, Haitao Yang, Margarita Norambuena, Jose Rodriauez

Resultado de la investigación: Conference contribution

1 Cita (Scopus)

Resumen

A very simple sequential model predictive control (SMPC) is recently proposed to achieve high performance control of induction motor (IM) drives. By evaluating two separate cost functions for torque and stator flux amplitude in a cascaded way, the weighting factor in conventional MPC is eliminated. However, SMPC cannot achieve stable operation over the full speed range. if the cost function for stator flux is firstly evaluated. This paper proposes a generalized SMPC which is effective when anyone of the two cost functions is firstly evaluated. This increases the stability and universality of conventional SMPC. The experimental results confirms the effectiveness of the proposed method.

Idioma originalEnglish
Título de la publicación alojadaICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1285-1290
Número de páginas6
ISBN (versión digital)9788986510201
DOI
EstadoPublished - 27 nov 2018
Evento21st International Conference on Electrical Machines and Systems, ICEMS 2018 - Jeju, Korea, Republic of
Duración: 7 oct 201810 oct 2018

Serie de la publicación

NombreICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems

Conference

Conference21st International Conference on Electrical Machines and Systems, ICEMS 2018
PaísKorea, Republic of
CiudadJeju
Período7/10/1810/10/18

Huella dactilar

Model predictive control
Induction motors
Cost functions
Stators
Fluxes
Torque

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering

Citar esto

Zhang, Y., Zhang, B., Yang, H., Norambuena, M., & Rodriauez, J. (2018). Generalized Sequential Model Predictive Control of Induction Motor Drives. En ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems (pp. 1285-1290). [8549339] (ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ICEMS.2018.8549339
Zhang, Yongchang ; Zhang, Boyue ; Yang, Haitao ; Norambuena, Margarita ; Rodriauez, Jose. / Generalized Sequential Model Predictive Control of Induction Motor Drives. ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1285-1290 (ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems).
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title = "Generalized Sequential Model Predictive Control of Induction Motor Drives",
abstract = "A very simple sequential model predictive control (SMPC) is recently proposed to achieve high performance control of induction motor (IM) drives. By evaluating two separate cost functions for torque and stator flux amplitude in a cascaded way, the weighting factor in conventional MPC is eliminated. However, SMPC cannot achieve stable operation over the full speed range. if the cost function for stator flux is firstly evaluated. This paper proposes a generalized SMPC which is effective when anyone of the two cost functions is firstly evaluated. This increases the stability and universality of conventional SMPC. The experimental results confirms the effectiveness of the proposed method.",
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Zhang, Y, Zhang, B, Yang, H, Norambuena, M & Rodriauez, J 2018, Generalized Sequential Model Predictive Control of Induction Motor Drives. En ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems., 8549339, ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems, Institute of Electrical and Electronics Engineers Inc., pp. 1285-1290, 21st International Conference on Electrical Machines and Systems, ICEMS 2018, Jeju, Korea, Republic of, 7/10/18. https://doi.org/10.23919/ICEMS.2018.8549339

Generalized Sequential Model Predictive Control of Induction Motor Drives. / Zhang, Yongchang; Zhang, Boyue; Yang, Haitao; Norambuena, Margarita; Rodriauez, Jose.

ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1285-1290 8549339 (ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems).

Resultado de la investigación: Conference contribution

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N2 - A very simple sequential model predictive control (SMPC) is recently proposed to achieve high performance control of induction motor (IM) drives. By evaluating two separate cost functions for torque and stator flux amplitude in a cascaded way, the weighting factor in conventional MPC is eliminated. However, SMPC cannot achieve stable operation over the full speed range. if the cost function for stator flux is firstly evaluated. This paper proposes a generalized SMPC which is effective when anyone of the two cost functions is firstly evaluated. This increases the stability and universality of conventional SMPC. The experimental results confirms the effectiveness of the proposed method.

AB - A very simple sequential model predictive control (SMPC) is recently proposed to achieve high performance control of induction motor (IM) drives. By evaluating two separate cost functions for torque and stator flux amplitude in a cascaded way, the weighting factor in conventional MPC is eliminated. However, SMPC cannot achieve stable operation over the full speed range. if the cost function for stator flux is firstly evaluated. This paper proposes a generalized SMPC which is effective when anyone of the two cost functions is firstly evaluated. This increases the stability and universality of conventional SMPC. The experimental results confirms the effectiveness of the proposed method.

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Zhang Y, Zhang B, Yang H, Norambuena M, Rodriauez J. Generalized Sequential Model Predictive Control of Induction Motor Drives. En ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1285-1290. 8549339. (ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems). https://doi.org/10.23919/ICEMS.2018.8549339