A lookup table based method for the cost function computation reduction in finite set model predctive control

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

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

Abstract

Finite set model predictive control (FS-MPC) has shown the features of a simple and practical method in power electronics application. Increasing the number of the voltage vectors in FS-MPC is useful to reduce the harmonic distortion of currents, and the voltage and the torque ripple. Despite all of the advantages this method has a high computation burden. For the vector increase, due to expenses of multi-level inverters, i.e., hardware solution, the discrete space vector modulation, i.e., software solution, is used in lower power applications. Reducing the number of feasible vectors in the cost function is a challenge. In this paper, a new method is proposed for fast and easy detection of the triangle that the reference voltage vector is located. The method uses the magnitude and the phase angle of the reference voltage. By this method, the process of determining the closest three vectors is eased. The validity of the proposed method is verified by the simulation.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1053-1058
Number of pages6
ISBN (Electronic)9781728157542
DOIs
Publication statusPublished - Feb 2020
Event21st IEEE International Conference on Industrial Technology, ICIT 2020 - Buenos Aires, Argentina
Duration: 26 Feb 202028 Feb 2020

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology
Volume2020-February

Conference

Conference21st IEEE International Conference on Industrial Technology, ICIT 2020
CountryArgentina
CityBuenos Aires
Period26/02/2028/02/20

Keywords

  • Computation reduction
  • Finite set model predictive control
  • Virtual vectors

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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    Lotfollahzadegan, S., Davari, S. A., Garcia, C., & Rodriguez, J. (2020). A lookup table based method for the cost function computation reduction in finite set model predctive control. In Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020 (pp. 1053-1058). [9067230] (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2020-February). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT45562.2020.9067230