An optimized predictive current control for induction machines with a parallel cost function

Fengxiang Wang, Kunkun Zuo, Anjun Xia, Zhenbin Zhang, Yongchang Zhang, Jose Rodriguez

Resultado de la investigación: Conference contribution

Resumen

Based on the finite control set predictive current control, a parallel control strategy is proposed in this paper. According to the characteristic of current control in electric drive system, a new predictive current control algorithm, which designs two parallel cost functions to evaluate all possible voltage vectors and uses an adaptive selection strategy to select the optimal one, is formulated. In particular, this algorithm eliminates the monotonous weighting factor tuning work and achieves better control performance simultaneously. The effectiveness of proposed algorithm has been confirmed by experimental results in induction machine system.

Idioma originalEnglish
Título de la publicación alojadaProceedings - PRECEDE 2019
Subtítulo de la publicación alojada2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781538694145
DOI
EstadoPublished - 1 may 2019
Evento2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019 - Quanzhou, China
Duración: 31 may 20192 jun 2019

Serie de la publicación

NombreProceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics

Conference

Conference2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019
PaísChina
CiudadQuanzhou
Período31/05/192/06/19

Huella dactilar

Induction Machine
Electric current control
Cost functions
Cost Function
Control Sets
Electric drives
Algorithm Design
Control Algorithm
Weighting
Control Strategy
Finite Set
Tuning
Eliminate
Voltage
Evaluate
Experimental Results
Electric potential

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

Citar esto

Wang, F., Zuo, K., Xia, A., Zhang, Z., Zhang, Y., & Rodriguez, J. (2019). An optimized predictive current control for induction machines with a parallel cost function. En Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics [8753226] (Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PRECEDE.2019.8753226
Wang, Fengxiang ; Zuo, Kunkun ; Xia, Anjun ; Zhang, Zhenbin ; Zhang, Yongchang ; Rodriguez, Jose. / An optimized predictive current control for induction machines with a parallel cost function. Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics. Institute of Electrical and Electronics Engineers Inc., 2019. (Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics).
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title = "An optimized predictive current control for induction machines with a parallel cost function",
abstract = "Based on the finite control set predictive current control, a parallel control strategy is proposed in this paper. According to the characteristic of current control in electric drive system, a new predictive current control algorithm, which designs two parallel cost functions to evaluate all possible voltage vectors and uses an adaptive selection strategy to select the optimal one, is formulated. In particular, this algorithm eliminates the monotonous weighting factor tuning work and achieves better control performance simultaneously. The effectiveness of proposed algorithm has been confirmed by experimental results in induction machine system.",
keywords = "Cost function, Induction machine, Model predictive control, Predictive current control, Weighting factor",
author = "Fengxiang Wang and Kunkun Zuo and Anjun Xia and Zhenbin Zhang and Yongchang Zhang and Jose Rodriguez",
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Wang, F, Zuo, K, Xia, A, Zhang, Z, Zhang, Y & Rodriguez, J 2019, An optimized predictive current control for induction machines with a parallel cost function. En Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics., 8753226, Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019, Quanzhou, China, 31/05/19. https://doi.org/10.1109/PRECEDE.2019.8753226

An optimized predictive current control for induction machines with a parallel cost function. / Wang, Fengxiang; Zuo, Kunkun; Xia, Anjun; Zhang, Zhenbin; Zhang, Yongchang; Rodriguez, Jose.

Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics. Institute of Electrical and Electronics Engineers Inc., 2019. 8753226 (Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics).

Resultado de la investigación: Conference contribution

TY - GEN

T1 - An optimized predictive current control for induction machines with a parallel cost function

AU - Wang, Fengxiang

AU - Zuo, Kunkun

AU - Xia, Anjun

AU - Zhang, Zhenbin

AU - Zhang, Yongchang

AU - Rodriguez, Jose

PY - 2019/5/1

Y1 - 2019/5/1

N2 - Based on the finite control set predictive current control, a parallel control strategy is proposed in this paper. According to the characteristic of current control in electric drive system, a new predictive current control algorithm, which designs two parallel cost functions to evaluate all possible voltage vectors and uses an adaptive selection strategy to select the optimal one, is formulated. In particular, this algorithm eliminates the monotonous weighting factor tuning work and achieves better control performance simultaneously. The effectiveness of proposed algorithm has been confirmed by experimental results in induction machine system.

AB - Based on the finite control set predictive current control, a parallel control strategy is proposed in this paper. According to the characteristic of current control in electric drive system, a new predictive current control algorithm, which designs two parallel cost functions to evaluate all possible voltage vectors and uses an adaptive selection strategy to select the optimal one, is formulated. In particular, this algorithm eliminates the monotonous weighting factor tuning work and achieves better control performance simultaneously. The effectiveness of proposed algorithm has been confirmed by experimental results in induction machine system.

KW - Cost function

KW - Induction machine

KW - Model predictive control

KW - Predictive current control

KW - Weighting factor

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DO - 10.1109/PRECEDE.2019.8753226

M3 - Conference contribution

T3 - Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics

BT - Proceedings - PRECEDE 2019

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Wang F, Zuo K, Xia A, Zhang Z, Zhang Y, Rodriguez J. An optimized predictive current control for induction machines with a parallel cost function. En Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics. Institute of Electrical and Electronics Engineers Inc. 2019. 8753226. (Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics). https://doi.org/10.1109/PRECEDE.2019.8753226