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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings - PRECEDE 2019
Subtitle of host publication2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538694145
DOIs
Publication statusPublished - 1 May 2019
Event2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019 - Quanzhou, China
Duration: 31 May 20192 Jun 2019

Publication series

NameProceedings - 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
CountryChina
CityQuanzhou
Period31/05/192/06/19

Fingerprint

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

Keywords

  • Cost function
  • Induction machine
  • Model predictive control
  • Predictive current control
  • Weighting factor

ASJC Scopus subject areas

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

Cite this

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. In 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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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.",
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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. in 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).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Zhang, Yongchang

AU - Rodriguez, Jose

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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.

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PB - Institute of Electrical and Electronics Engineers Inc.

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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. In 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