Low-Complexity Model Predictive Flux Control with Constant Switching Frequency for Induction Motors

Huiqing Song*, Jinquan Tang, P. G. Ipoum Ngome, Jose Rodriguez, Daniel L. Mon-Nzongo, Tao Jin

*Corresponding author for this work

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

1 Scopus citations

Abstract

In this paper, a low-complexity model predictive flux control (MPFC) with a fixed switching frequency is proposed for induction motors (IMs) fed by a two-level voltage source inverter. The appropriate active voltage vectors (AVVs) are determined according to estimated torque derivation. The generalized discrete space vector is used for improving the controller performance, and the computation time is mitigated by derivation of the extremum of the flux control objective. To ensure the controller switching frequency is fixed, the synthesized control voltage vector is implemented using a symmetrical three-vector method. The proposed controller is evaluated at 5 kHz sampling frequency and the achieved results validate the effectiveness of the strategy for improving the steady-state performance while maintaining a constant switching frequency around 5 kHz over a wide range of operating conditions.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350396867
DOIs
StatePublished - 2023
Event2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 - Wuhan, China
Duration: 20232023

Publication series

Name2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023

Conference

Conference2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023
Country/TerritoryChina
CityWuhan
Period16/06/2319/06/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

ASJC Scopus subject areas

  • Control and Optimization
  • Modeling and Simulation
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality

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