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Recursive integral terminal sliding mode control with combined extended state observer and adaptive Kalman filter for MEMS gyroscopes

  • Rui Zhang
  • , Bin Xu
  • , Shihua Li
  • , Guangen Gao
  • Northwestern Polytechnical University Xian
  • Southeast University, Nanjing
  • AVIC Xi’an Flight Automatic Control Research Institute

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

The recursive integral terminal sliding mode control with combined extended state observer (ESO) and adaptive Kalman filter (AKF) is proposed in this article for micromechanical system gyroscopes. To accurately estimate the unmeasured system states in the presence of measurement noises, external disturbances and system uncertainties, the special combination of ESO and AKF is proposed. The AKF is employed to deal with measurement noises and prepare necessary signals for the ESO, while the ESO constantly provides the updated estimate of the lumped disturbance for the AKF. Furthermore, a robust control scheme is designed by using the recursive integral terminal sliding mode variable. Simulation results verify that more accurate unmeasured state estimation and higher tracking accuracy are achieved under the proposed method.

Original languageEnglish
Pages (from-to)5706-5718
Number of pages13
JournalInternational Journal of Robust and Nonlinear Control
Volume34
Issue number9
DOIs
StatePublished - Jun 2024

Keywords

  • MEMS gyroscope
  • adaptive Kalman filter
  • extended state observer
  • recursive integral terminal sliding mode control

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