Simplified Modulated Model Predictive Control of Synchronous Reluctance Motor

Behnam Nikmaram, Alireza Davari, Peyman Naderi, Jose Rodriguez, Cristian Garcia

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

Abstract

Modulated model predictive control (M2PC) method is a solution to achieve a fixed switching frequency for model predictive control. This method, compared to the conventional finite control set model predictive control (FCS-MPC,) has a less THD and ripple for the outputs. In the FCS-MPC method, a cost function is used to determine the optimal vector in every sampling interval. But in the M2PC method, in which a modulator is utilized, three cost functions are used instead of one to determine the optimum vectors. The M2PC method resolves some problems of the FCS-MPC method. But because it has a high computational volume, it is more difficult to implement and it costs more. This paper presents a simplified modulated model predictive control (SM2PC) strategy to reduce the computations. This method is applied to the control of synchronous reluctance motor. Simulation results are presented in order to evaluate the proposed method.

Original languageEnglish
Title of host publication2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728158495
DOIs
Publication statusPublished - Feb 2020
Event11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020 - Tehran, Iran, Islamic Republic of
Duration: 4 Feb 20206 Feb 2020

Publication series

Name2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020

Conference

Conference11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
CountryIran, Islamic Republic of
CityTehran
Period4/02/206/02/20

Keywords

  • model predictive control (MPC)
  • simplified modulation model predictive control (SM2PC)
  • synchronous reluctance motor control

ASJC Scopus subject areas

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

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