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Current control of steering feel feedback motor based on adaptive prediction correction and parameter robust identification method.

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Title: Current control of steering feel feedback motor based on adaptive prediction correction and parameter robust identification method.
Authors: Zhou, Guan1 (AUTHOR) zg1112221101@126.com, Li, Zhongbao1 (AUTHOR), Fang, Zihao1 (AUTHOR), Deng, Haojie2 (AUTHOR), Hu, Demin1 (AUTHOR)
Source: International Journal of Control. Sep2026, Vol. 99 Issue 9, p2937-2957. 21p.
Subject Terms: *Sampling errors, *Permanent magnet motors, *System identification, *Polynomial chaos
Abstract: This paper proposes a robust current control strategy for permanent magnet synchronous motors in steer-by-wire steering feel feedback systems under sampling errors and parameter variations. A residual-driven adaptive current prediction correction method is developed to dynamically fuse measured and predicted currents, thereby reducing the influence of sampling distortion. Meanwhile, a Polynomial Chaos Expansion-enhanced Adaptive Extended Kalman Filter is introduced to identify stator resistance and equivalent inductance online while characterising parameter uncertainty. Simulation results show that, under a 2 A sampling error, the proposed method reduces the average current oscillation amplitude by 56.09% and 56.29% compared with PI and deadbeat predictive control, respectively. Under parameter step variations, the torque tracking error index is reduced by 43.45% and 61.02%, demonstrating improved current robustness and steering feel torque fidelity. [ABSTRACT FROM AUTHOR]
Database: Academic Search Index
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  – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:asx&genre=article&issn=00207179&ISBN=&volume=99&issue=9&date=20260901&spage=2937&pages=2937-2957&title=International Journal of Control&atitle=Current%20control%20of%20steering%20feel%20feedback%20motor%20based%20on%20adaptive%20prediction%20correction%20and%20parameter%20robust%20identification%20method.&aulast=Zhou%2C%20Guan&id=DOI:10.1080/00207179.2026.2699308
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  Label: Title
  Group: Ti
  Data: Current control of steering feel feedback motor based on adaptive prediction correction and parameter robust identification method.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Zhou%2C+Guan%22">Zhou, Guan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zg1112221101@126.com</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Zhongbao%22">Li, Zhongbao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fang%2C+Zihao%22">Fang, Zihao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Deng%2C+Haojie%22">Deng, Haojie</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Demin%22">Hu, Demin</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Control%22">International Journal of Control</searchLink>. Sep2026, Vol. 99 Issue 9, p2937-2957. 21p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Sampling+errors%22">Sampling errors</searchLink><br />*<searchLink fieldCode="DE" term="%22Permanent+magnet+motors%22">Permanent magnet motors</searchLink><br />*<searchLink fieldCode="DE" term="%22System+identification%22">System identification</searchLink><br />*<searchLink fieldCode="DE" term="%22Polynomial+chaos%22">Polynomial chaos</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper proposes a robust current control strategy for permanent magnet synchronous motors in steer-by-wire steering feel feedback systems under sampling errors and parameter variations. A residual-driven adaptive current prediction correction method is developed to dynamically fuse measured and predicted currents, thereby reducing the influence of sampling distortion. Meanwhile, a Polynomial Chaos Expansion-enhanced Adaptive Extended Kalman Filter is introduced to identify stator resistance and equivalent inductance online while characterising parameter uncertainty. Simulation results show that, under a 2 A sampling error, the proposed method reduces the average current oscillation amplitude by 56.09% and 56.29% compared with PI and deadbeat predictive control, respectively. Under parameter step variations, the torque tracking error index is reduced by 43.45% and 61.02%, demonstrating improved current robustness and steering feel torque fidelity. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/00207179.2026.2699308
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 2937
    Subjects:
      – SubjectFull: Sampling errors
        Type: general
      – SubjectFull: Permanent magnet motors
        Type: general
      – SubjectFull: System identification
        Type: general
      – SubjectFull: Polynomial chaos
        Type: general
    Titles:
      – TitleFull: Current control of steering feel feedback motor based on adaptive prediction correction and parameter robust identification method.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhou, Guan
      – PersonEntity:
          Name:
            NameFull: Li, Zhongbao
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            NameFull: Fang, Zihao
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            NameFull: Deng, Haojie
      – PersonEntity:
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            NameFull: Hu, Demin
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          Dates:
            – D: 01
              M: 09
              Text: Sep2026
              Type: published
              Y: 2026
          Identifiers:
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              Value: 00207179
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            – Type: volume
              Value: 99
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: International Journal of Control
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