Model-Free Predictive Current Control for PMSM Drives Using an Improved Dynamic Linearization Data Model

Model predictive control has attracted much attention in electric drives, but its parameter sensitivity on explicit models poses inherent challenges to the further application. This paper proposes an improved model-free predictive current control (MFPCC) based on a full-form dynamic linearization (F...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE transactions on energy conversion s. 1 - 12
Hlavní autori: Zhang, Kai, Lu, Junyong, Liu, Yingquan, Ma, Jien, Qiu, Lin, Liu, Xing, Fang, Youtong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: IEEE 2025
Predmet:
Accuracy
Data models
Dynamic Linearization (DL)
Estimation
Mathematical models
Model-free predictive control (MFPC)
Motors
permanent magnet synchronous motor (PMSM)
Prediction algorithms
Predictive control
Predictive models
Stator windings
Vectors
ISSN:0885-8969, 1558-0059
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Abstract Model predictive control has attracted much attention in electric drives, but its parameter sensitivity on explicit models poses inherent challenges to the further application. This paper proposes an improved model-free predictive current control (MFPCC) based on a full-form dynamic linearization (FFDL) data model. Through the pseudo gradient (PG) and estimation algorithm, the FFDL modeling method only uses the input-output data of the system. However, the accuracy of the classic FFDL data model relies heavily on the PG initial value, which is related to the plant. In order to reduce the initial value dependence, this paper further improves the FFDL technique with a diagonal gain matrix, while the stability analysis and parameter design guidance are given. With only simple parameter design, the proposed method can establish a prediction model based on the input-output data to deal with uncertain systems. Finally, the performance of the proposed method is verified on a PMSM experimental platform with a three-level neutral-point-clamped inverter.
AbstractList Model predictive control has attracted much attention in electric drives, but its parameter sensitivity on explicit models poses inherent challenges to the further application. This paper proposes an improved model-free predictive current control (MFPCC) based on a full-form dynamic linearization (FFDL) data model. Through the pseudo gradient (PG) and estimation algorithm, the FFDL modeling method only uses the input-output data of the system. However, the accuracy of the classic FFDL data model relies heavily on the PG initial value, which is related to the plant. In order to reduce the initial value dependence, this paper further improves the FFDL technique with a diagonal gain matrix, while the stability analysis and parameter design guidance are given. With only simple parameter design, the proposed method can establish a prediction model based on the input-output data to deal with uncertain systems. Finally, the performance of the proposed method is verified on a PMSM experimental platform with a three-level neutral-point-clamped inverter.
Author Qiu, Lin
Liu, Xing
Ma, Jien
Fang, Youtong
Liu, Yingquan
Lu, Junyong
Zhang, Kai
Author_xml – sequence: 1
  givenname: Kai
  orcidid: 0000-0001-8101-5092
  surname: Zhang
  fullname: Zhang, Kai
  email: kzhang_aemc@zju.edu.cn
  organization: College of Electrical Engineering, Zhejiang University, Hangzhou, China
– sequence: 2
  givenname: Junyong
  orcidid: 0000-0003-2473-0385
  surname: Lu
  fullname: Lu, Junyong
  email: jylu2023@nue.edu.cn
  organization: Naval University of Engineering, Wuhan, China
– sequence: 3
  givenname: Yingquan
  orcidid: 0009-0009-8671-4242
  surname: Liu
  fullname: Liu, Yingquan
  email: lauvictor2023@nue.edu.cn
  organization: Naval University of Engineering, Wuhan, China
– sequence: 4
  givenname: Jien
  orcidid: 0000-0001-6970-3634
  surname: Ma
  fullname: Ma, Jien
  email: majien@zju.edu.cn
  organization: College of Electrical Engineering, Zhejiang University, Hangzhou, China
– sequence: 5
  givenname: Lin
  orcidid: 0000-0003-1236-2191
  surname: Qiu
  fullname: Qiu, Lin
  email: qiu_lin@zju.edu.cn
  organization: College of Electrical Engineering, Zhejiang University, Hangzhou, China
– sequence: 6
  givenname: Xing
  orcidid: 0000-0001-9685-2862
  surname: Liu
  fullname: Liu, Xing
  email: xingldl@zju.edu.cn
  organization: College of Electrical Engineering, Zhejiang University, Hangzhou, China
– sequence: 7
  givenname: Youtong
  orcidid: 0000-0002-8521-4184
  surname: Fang
  fullname: Fang, Youtong
  email: youtong@zju.edu.cn
  organization: College of Electrical Engineering, Zhejiang University, Hangzhou, China
BookMark eNpFkE1vwjAMhqOJSQO2-w475A-U5aNpm-NUPoYEGtLgXLnB3TJBgtIOif36hYE0Xyz79WvLz4D0nHdIyCNnI86Zfl5PypFgQo2k0hkrihvS50oVCWNK90g_dlRS6EzfkUHbfjHGUyV4n3wu_RZ3yTQg0lXArTWdPSItv0NA19HSuy74HW18oKvl-5KOQ5Rbummt-6Dg6Hx_CP6IWzo-OdhbQxfWIQT7A531jo6hA_p34p7cNrBr8eGah2QznazL12TxNpuXL4vEcJl2Sa01Gp3lXOXxLZbqmsWq0bmBLBdCgwbGtDa1FHUBCgFVnUYlS0E2KkM5JOyy1wTftgGb6hDsHsKp4qw6k6oiqepMqrqSipani8Ui4v94DClzIX8BxWJmSQ
CODEN ITCNE4
ContentType Journal Article
DBID 97E
RIA
RIE
AAYXX
CITATION
DOI 10.1109/TEC.2025.3596088
DatabaseName IEEE Xplore (IEEE)
IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE Electronic Library (IEL)
CrossRef
DatabaseTitle CrossRef
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1558-0059
EndPage 12
ExternalDocumentID 10_1109_TEC_2025_3596088
11113372
Genre orig-research
GroupedDBID -~X
.DC
0R~
29I
4.4
5GY
6IK
97E
AAJGR
AASAJ
AAWTH
ABAZT
ABQJQ
ABVLG
ACGFO
ACGFS
ACIWK
AENEX
AGQYO
AHBIQ
AKJIK
AKQYR
ALMA_UNASSIGNED_HOLDINGS
ASUFR
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CS3
DU5
EBS
HZ~
IFIPE
IPLJI
JAVBF
LAI
M43
MS~
O9-
OCL
P2P
RIA
RIE
RNS
TAE
TN5
3EH
5VS
AAYXX
AETIX
AGSQL
AI.
AIBXA
ALLEH
CITATION
EJD
H~9
ICLAB
IFJZH
VH1
VJK
ID FETCH-LOGICAL-c134t-b99ec967157110049b0967f97ca67229a9a0099cb32b8a5eae5b467264a3f56e3
IEDL.DBID RIE
ISSN 0885-8969
IngestDate Sat Nov 29 07:39:45 EST 2025
Sun Sep 28 03:48:04 EDT 2025
IsPeerReviewed true
IsScholarly true
Language English
License https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
https://doi.org/10.15223/policy-029
https://doi.org/10.15223/policy-037
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c134t-b99ec967157110049b0967f97ca67229a9a0099cb32b8a5eae5b467264a3f56e3
ORCID 0000-0002-8521-4184
0000-0003-2473-0385
0000-0001-9685-2862
0000-0001-8101-5092
0000-0003-1236-2191
0009-0009-8671-4242
0000-0001-6970-3634
PageCount 12
ParticipantIDs crossref_primary_10_1109_TEC_2025_3596088
ieee_primary_11113372
PublicationCentury 2000
PublicationDate 2025-00-00
PublicationDateYYYYMMDD 2025-01-01
PublicationDate_xml – year: 2025
  text: 2025-00-00
PublicationDecade 2020
PublicationTitle IEEE transactions on energy conversion
PublicationTitleAbbrev TEC
PublicationYear 2025
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0014521
Score 2.4552224
Snippet Model predictive control has attracted much attention in electric drives, but its parameter sensitivity on explicit models poses inherent challenges to the...
SourceID crossref
ieee
SourceType Index Database
Publisher
StartPage 1
SubjectTerms Accuracy
Data models
Dynamic Linearization (DL)
Estimation
Mathematical models
Model-free predictive control (MFPC)
Motors
permanent magnet synchronous motor (PMSM)
Prediction algorithms
Predictive control
Predictive models
Stator windings
Vectors
Title Model-Free Predictive Current Control for PMSM Drives Using an Improved Dynamic Linearization Data Model
URI https://ieeexplore.ieee.org/document/11113372
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVIEE
  databaseName: IEEE Electronic Library (IEL)
  customDbUrl:
  eissn: 1558-0059
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0014521
  issn: 0885-8969
  databaseCode: RIE
  dateStart: 19860101
  isFulltext: true
  titleUrlDefault: https://ieeexplore.ieee.org/
  providerName: IEEE
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV07T8MwELagYoCBZxHlJQ8sDG7TOLZzI-pDDLSqREHdIr8ikFCKQsrvx3ZS2oWBLbISxbrzne_13SF0RxWw1GhDBM8V8ZhlIqmwhOepirkGngd8xeuTmE7TxQJmDVg9YGGstaH4zHb9Y8jlm6Ve-VBZz4s3pcJp3F0heA3W-k0ZJCyArJzUMJICh3VOMoLefDRwnmDMupQ5gz0MWdncQVtDVcKdMj76526O0WFjPOKHmtsnaMcWp-hgq6XgGXrzw80-yLi0Fs9Kn4Xx-gw3bZjwoK5Mx85UxbPJ8wQPS993FofKASwLXAcZrMHDelQ9ds6qE4YGrYmHspI4_KKNXsaj-eCRNNMUiO7TpCIKwDraiz4ToU0cKOe9iByEllzEMUiQ3lzUisYqlcxKy5TTos5gkjRn3NJz1CqWhb1AWCtjTJSbKJIqcdwGZZLI9HmqZKogUR10v6Zv9lk3zciCsxFB5niReV5kDS86qO1Ju3mvoerlH-tXaN9_XkdBrlGrKlf2Bu3p7-r9q7wNR-IHICm0aw
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV07T8MwELZQQQIGnkWUpwcWBrdJHNvxiPpQEW1ViYK6RX5FIKEUhZTfj-2ktAsDW2RFiXXnO9_ruwPgDktOEq00YjSTyGGWkcDMIJolMqKK08zjK15HbDJJ5nM-rcHqHgtjjPHFZ6btHn0uXy_U0oXKOk68MWZW426TOI6CCq71mzSIiYdZWbkhKOGUr7KSAe_M-l3rC0akjYk12f2YlfUttDFWxd8qg8N_7ucIHNTmI3yo-H0Mtkx-AvY3mgqegjc33uwDDQpj4LRweRin0WDdiAl2q9p0aI1VOB0_j2GvcJ1noa8dgCKHVZjBaNirhtVD665acajxmrAnSgH9L5rgZdCfdYeonqeAVIjjEknOjaU-CwnzjeK4tP4LyzhTgrIo4oILZzAqiSOZCGKEIdLqUWsyCZwRavAZaOSL3JwDqKTWOsh0EAgZW35zqeNAhzSRIpE8li1wv6Jv-lm1zUi9uxHw1PIidbxIa160QNORdv1eTdWLP9Zvwe5wNh6lo8fJ0yXYc5-qYiJXoFEWS3MNdtR3-f5V3Pjj8QOxabey
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Model-Free+Predictive+Current+Control+for+PMSM+Drives+Using+an+Improved+Dynamic+Linearization+Data+Model&rft.jtitle=IEEE+transactions+on+energy+conversion&rft.au=Zhang%2C+Kai&rft.au=Lu%2C+Junyong&rft.au=Liu%2C+Yingquan&rft.au=Ma%2C+Jien&rft.date=2025&rft.pub=IEEE&rft.issn=0885-8969&rft.spage=1&rft.epage=12&rft_id=info:doi/10.1109%2FTEC.2025.3596088&rft.externalDocID=11113372
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0885-8969&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0885-8969&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0885-8969&client=summon