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

科研成果: 期刊稿件文章同行评审

6 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)5706-5718
页数13
期刊International Journal of Robust and Nonlinear Control
34
9
DOI
出版状态已出版 - 6月 2024

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