Three‐vector model‐free predictive control for permanent magnet synchronous motor

Abstract A three‐vector model‐free predictive control (TV‐MFPC) strategy is proposed to address the problem of model predictive control systems performance degradation caused by parameter mismatch and inverter dead‐zone. Firstly, an ultra‐local model is constructed for parameter mismatch and dead‐zo...

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Main Authors: Dingdou Wen, Yanqin Zhang, Yang Zhang
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:IET Power Electronics
Subjects:
Online Access:https://doi.org/10.1049/pel2.12599
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author Dingdou Wen
Yanqin Zhang
Yang Zhang
author_facet Dingdou Wen
Yanqin Zhang
Yang Zhang
author_sort Dingdou Wen
collection DOAJ
description Abstract A three‐vector model‐free predictive control (TV‐MFPC) strategy is proposed to address the problem of model predictive control systems performance degradation caused by parameter mismatch and inverter dead‐zone. Firstly, an ultra‐local model is constructed for parameter mismatch and dead‐zone. Then, to improve the adaptive capability of the observer to parameter variations, sliding mode control is introduced, and an Improved Extended State Observer (IESO) is designed to estimate unknown disturbances in the ultra‐local model and provide feedforward compensation for the current loop. Finally, the proposed strategy is experimentally validated, and the results demonstrate that it reduces dependence on the model, suppresses the phase current distortion caused by dead‐zone, and improves the robustness of the control system.
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spelling doaj.art-0711f9e1ff1244a091eb667da50055542023-12-06T07:52:59ZengWileyIET Power Electronics1755-45351755-45432023-12-0116162754276810.1049/pel2.12599Three‐vector model‐free predictive control for permanent magnet synchronous motorDingdou Wen0Yanqin Zhang1Yang Zhang2College of Electrical and Information Engineering Hunan University of Technology Zhuzhou Hunan Province PR ChinaCollege of Electrical and Information Engineering Hunan University of Technology Zhuzhou Hunan Province PR ChinaCollege of Electrical and Information Engineering Hunan University of Technology Zhuzhou Hunan Province PR ChinaAbstract A three‐vector model‐free predictive control (TV‐MFPC) strategy is proposed to address the problem of model predictive control systems performance degradation caused by parameter mismatch and inverter dead‐zone. Firstly, an ultra‐local model is constructed for parameter mismatch and dead‐zone. Then, to improve the adaptive capability of the observer to parameter variations, sliding mode control is introduced, and an Improved Extended State Observer (IESO) is designed to estimate unknown disturbances in the ultra‐local model and provide feedforward compensation for the current loop. Finally, the proposed strategy is experimentally validated, and the results demonstrate that it reduces dependence on the model, suppresses the phase current distortion caused by dead‐zone, and improves the robustness of the control system.https://doi.org/10.1049/pel2.12599DC–AC power convertorspermanent magnet motors
spellingShingle Dingdou Wen
Yanqin Zhang
Yang Zhang
Three‐vector model‐free predictive control for permanent magnet synchronous motor
IET Power Electronics
DC–AC power convertors
permanent magnet motors
title Three‐vector model‐free predictive control for permanent magnet synchronous motor
title_full Three‐vector model‐free predictive control for permanent magnet synchronous motor
title_fullStr Three‐vector model‐free predictive control for permanent magnet synchronous motor
title_full_unstemmed Three‐vector model‐free predictive control for permanent magnet synchronous motor
title_short Three‐vector model‐free predictive control for permanent magnet synchronous motor
title_sort three vector model free predictive control for permanent magnet synchronous motor
topic DC–AC power convertors
permanent magnet motors
url https://doi.org/10.1049/pel2.12599
work_keys_str_mv AT dingdouwen threevectormodelfreepredictivecontrolforpermanentmagnetsynchronousmotor
AT yanqinzhang threevectormodelfreepredictivecontrolforpermanentmagnetsynchronousmotor
AT yangzhang threevectormodelfreepredictivecontrolforpermanentmagnetsynchronousmotor