Optimization of stabilization loop for inertial measurement system with disturbances and uncertainties.

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Title: Optimization of stabilization loop for inertial measurement system with disturbances and uncertainties.
Authors: Zhao, Junhu1 (AUTHOR), Tian, Muyuan1 (AUTHOR), Li, Hui1 (AUTHOR) lihui@buaa.edu.cn, Zhou, Jiao2 (AUTHOR), Liu, Huilan1 (AUTHOR), Meng, Zhaokui1 (AUTHOR), Zhang, Xi1 (AUTHOR)
Source: Transactions of the Institute of Measurement & Control. Jul2026, Vol. 48 Issue 11, p2645-2652. 8p.
Subjects: Robust control, Feedback control system stability, Inertial navigation systems, Robust stability analysis, Measurement errors, Automatic tracking, Vibration (Mechanics)
Abstract: A control algorithm is proposed to achieve the fast dynamic tracking for improving anti-instability capability of the stabilization loop in the inertial measurement system. Disturbances and uncertainties inevitably exist in actual inertial platform, directly affecting the measurement and stabilization accuracy. We investigated the parameter uncertainty of the inertia moment and damping constant caused by dynamic mass imbalance and nonlinear friction. Furthermore, we establish the dynamic model of the control system for the stabilization loop considering external disturbances and parameter uncertainties. Then, a robust controller is designed to guarantee that the stabilization loop is exponentially stable with nonzero initial states for improving the anti-interference and stabilization recovery ability. Finally, simulation and experiment results show that the designed controller reduces the overshoot and the tracking error to optimize the convergence rapidity and anti-instability capability of the stabilization loop, which promotes stability precision and the dynamic performance of the inertial measurement system in the field of inertial navigation. [ABSTRACT FROM AUTHOR]
Copyright of Transactions of the Institute of Measurement & Control is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Optimization of stabilization loop for inertial measurement system with disturbances and uncertainties.
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  Data: <searchLink fieldCode="AR" term="%22Zhao%2C+Junhu%22">Zhao, Junhu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tian%2C+Muyuan%22">Tian, Muyuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Hui%22">Li, Hui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lihui@buaa.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Jiao%22">Zhou, Jiao</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Huilan%22">Liu, Huilan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Meng%2C+Zhaokui%22">Meng, Zhaokui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xi%22">Zhang, Xi</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Transactions+of+the+Institute+of+Measurement+%26+Control%22">Transactions of the Institute of Measurement & Control</searchLink>. Jul2026, Vol. 48 Issue 11, p2645-2652. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+control+system+stability%22">Feedback control system stability</searchLink><br /><searchLink fieldCode="DE" term="%22Inertial+navigation+systems%22">Inertial navigation systems</searchLink><br /><searchLink fieldCode="DE" term="%22Robust+stability+analysis%22">Robust stability analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement+errors%22">Measurement errors</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+tracking%22">Automatic tracking</searchLink><br /><searchLink fieldCode="DE" term="%22Vibration+%28Mechanics%29%22">Vibration (Mechanics)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A control algorithm is proposed to achieve the fast dynamic tracking for improving anti-instability capability of the stabilization loop in the inertial measurement system. Disturbances and uncertainties inevitably exist in actual inertial platform, directly affecting the measurement and stabilization accuracy. We investigated the parameter uncertainty of the inertia moment and damping constant caused by dynamic mass imbalance and nonlinear friction. Furthermore, we establish the dynamic model of the control system for the stabilization loop considering external disturbances and parameter uncertainties. Then, a robust controller is designed to guarantee that the stabilization loop is exponentially stable with nonzero initial states for improving the anti-interference and stabilization recovery ability. Finally, simulation and experiment results show that the designed controller reduces the overshoot and the tracking error to optimize the convergence rapidity and anti-instability capability of the stabilization loop, which promotes stability precision and the dynamic performance of the inertial measurement system in the field of inertial navigation. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Transactions of the Institute of Measurement & Control is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1177/01423312251360834
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      – Code: eng
        Text: English
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        PageCount: 8
        StartPage: 2645
    Subjects:
      – SubjectFull: Robust control
        Type: general
      – SubjectFull: Feedback control system stability
        Type: general
      – SubjectFull: Inertial navigation systems
        Type: general
      – SubjectFull: Robust stability analysis
        Type: general
      – SubjectFull: Measurement errors
        Type: general
      – SubjectFull: Automatic tracking
        Type: general
      – SubjectFull: Vibration (Mechanics)
        Type: general
    Titles:
      – TitleFull: Optimization of stabilization loop for inertial measurement system with disturbances and uncertainties.
        Type: main
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          Name:
            NameFull: Zhao, Junhu
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            NameFull: Tian, Muyuan
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            NameFull: Li, Hui
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            NameFull: Zhou, Jiao
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            NameFull: Liu, Huilan
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            NameFull: Meng, Zhaokui
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            NameFull: Zhang, Xi
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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              Value: 48
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              Value: 11
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            – TitleFull: Transactions of the Institute of Measurement & Control
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