Standardized Evenhanded Vector Selection Technique Used in Model Predictive Torque and Flux Controller

S. Alireza Davari, M. Javad Ghiasvand, Cristian Garcia, Jose Rodriguez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Although Model Predictive Torque Control (MPTC) method is considerably noticed during recent decades in literature due to its ability to direct control of several criteria (such as torque and flux), it couldn't find a remarkable role in industrial applications yet. The main challenge is vector selection when the focus on promoting one criterion will cause to lose the others. To solve the conflict, many different methods have been introduced such as applying online weighting factors, ranking methods, sequential methods which all have pros and cons. The proposed method has been designed to select the best vector by considering both criteria (Torque and Flux) impartially. Comparing the results shows, by applying the method, torque ripples are decreased while the other features remain unchanged.

Original languageEnglish
Title of host publication2022 13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages466-471
Number of pages6
ISBN (Electronic)9781665420433
DOIs
Publication statusPublished - 2022
Event13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022 - Tehran, Iran, Islamic Republic of
Duration: 1 Feb 20223 Feb 2022

Publication series

Name2022 13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022

Conference

Conference13th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2022
Country/TerritoryIran, Islamic Republic of
CityTehran
Period1/02/223/02/22

Keywords

  • cost function
  • cross error
  • Model Predictive Torque Control (MPTC)
  • weighting factor

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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