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Gyroscopes are essential in determining the orientation of vehicles and are integral to the control systems of spacecraft, automobiles, and other carriers, with their performance heavily influenced by errors. To capture the dynamic characteristics of these errors, models must incorporate the influence of time-varying physical fields. This paper introduces an innovative approach using Koopman theory and the SINDy algorithm for developing dynamic models of gyro errors that can adeptly handle the complex, non-linear interactions with environmental multiphysics fields, with the goal of advancing gyro technology. The effectiveness of this method is validated through experiments with fiber optic and laser gyroscopes, achieving a model confidence level over 80%, which highlights its practical applicability and reliability.

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Modeling Method About Gyro Error Dynamics with Multiphysics Coupling Based on Sparse Identification of Nonlinear Dynamics

  • 会议论文

  • 发表日期：

    2025年

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  • Haoyang Li,
  • Yanping Zhang,
  • Haoling Yin,
  • Lingling Wang,
  • Li Fu

摘要

Gyroscopes are essential in determining the orientation of vehicles and are integral to the control systems of spacecraft, automobiles, and other carriers, with their performance heavily influenced by errors. To capture the dynamic characteristics of these errors, models must incorporate the influence of time-varying physical fields. This paper introduces an innovative approach using Koopman theory and the SINDy algorithm for developing dynamic models of gyro errors that can adeptly handle the complex, non-linear interactions with environmental multiphysics fields, with the goal of advancing gyro technology. The effectiveness of this method is validated through experiments with fiber optic and laser gyroscopes, achieving a model confidence level over 80%, which highlights its practical applicability and reliability.