Even-Handed Sequential Predictive Torque and Flux Control

S. Alireza Davari, Margarita Norambuena, Vahab Nekoukar, Cristian Garcia, Jose Rodriguez

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Finite control set model predictive control (FCS-MPC) methods without using a weighting factor is being investigated as the state of the art in the power electronics application. In this article, a very simple and fast technique is proposed for making the decision among the possible options. The proposed method is an amendment on the sequential predictive control. The amendment is based on understanding the importance of the torque and the flux criteria in each control interval. The criterion that results in less cross-error will be used for voltage vectors (VVs) selection. Therefore, the high sequence may switch between the torque and the flux errors in every control interval. With this method, the best option can be found without using the weighting factor. The main advantage is avoiding the selection of an option with a big cross-error (definitely nonoptimum option). While that selection is possible by the fixed sequence method. Although, simplicity and fast computation will also be achieved. The proposed method is verified by experimental tests in different operating conditions.

Original languageEnglish
Article number8863117
Pages (from-to)7334-7342
Number of pages9
JournalIEEE Transactions on Industrial Electronics
Volume67
Issue number9
DOIs
Publication statusPublished - Sep 2020

Keywords

  • Best-worst decision making
  • predictive control
  • weighting factor elimination

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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