search-head

You are here: Homepage >  Search

    Data-Driven Self-calibration Control Strategy for Accuracy Enhancement of Micromachined Gyroscope with Two Orders of Magnitude

    Data-Driven Self-calibration Control Strategy for Accuracy Enhancement of Micromachined Gyroscope with Two Orders of Magnitude


    This paper presents data-driven self-calibration control strategy based on variable expectation-maximum (VEM) algorithm to improve accuracy of MEMS gyroscope under unknown stochastic disturbances in harsh environment. Disturbances sourcing from device insides with slow-varying, long-duration characteristic and external environment with drastic-magnitude, short-duration disturbances characteristic are successively constructed in the two measurement models of the gyroscope, respectively. The controller of the presented method is dynamically chosen to identify these disturbances to reduce the bias variance of the gyroscope. Numerical calculation results based on experimental test shows that the bias variances are reduced to 48.654°/s, 3.981°/s, 0.587°/s by Kalman filter (KF), least mean square (LMS), standard EM (SEM) methods, respectively. Comparing with these algorithms, bias variance of the proposed method is improved by 287.9, 23.6 and 3.5 times, respectively. It is proved that the proposed method can improve the accuracy by two orders of magnitude.

    Access

    Check access

    Check availability in my library

    Order at Subito €

    Export, share and cite

    Document information

    Title :

    Data-Driven Self-calibration Control Strategy for Accuracy Enhancement of Micromachined Gyroscope with Two Orders of Magnitude

    Additional title:

    Lect. Notes Electrical Eng.

    Contributors:
    Yan, Liang (editor) / Duan, Haibin (editor) / Yu, Xiang (editor) / Yang, Dengfeng (author) / Shen, Qiang (author) / Ren, Zhaozhi (author)
    Published in:

    Advances in Guidance, Navigation and Control ; Chapter : 353 ; 4251-4261

    Lecture Notes in Electrical Engineering ; 644

    Publication date :

    2021-10-30

    Size :

    11 pages

    ISBN :

    978-981-15-8155-7 , 978-981-15-8154-0

    ISSN :

    1876-1119 , 1876-1100

    DOI :

    https://doi.org/10.1007/978-981-15-8155-7_353

    Type of media :

    Article/Chapter (Book)

    Type of material :

    Electronic Resource

    Language :

    English

    Keywords :

    MEMS gyroscope , Data-driven , Expectation-maximum , Self-calibration Engineering , Control, Robotics, Mechatronics , Aerospace Technology and Astronautics , Communications Engineering, Networks

    Similar titles

    Data-Driven Self-calibration Control Strategy for Accuracy Enhancement of Micromachined Gyroscope with Two Orders of Magnitude

    Yang, Dengfeng / Shen, Qiang / Ren, Zhaozhi | TIBKAT | 2022

    Micromachined resonant gyroscope [5253-26]

    Qiu, A. / Wang, S. / Zhou, B. et al. | British Library Conference Proceedings | 2003

    A New Micromachined Gyroscope with Digital Output

    Lang, M. / Grossmann, M. / Prutz, O. et al. | British Library Conference Proceedings | 2003

    A new micromachined gyroscope with digital output

    Lang, M. / Großmann, M. / Prütz, O. et al. | Tema Archive | 2003

    Micromachined Gyroscope in Silicon-On-Insulator (SOI) Technology

    Gaisser, A. | British Library Conference Proceedings | 2002

    Access

    Check access

    Check availability in my library

    Order at Subito €

    Page navigation

    Document information

    Similar titles

    Export, share and cite