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Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope
Joint Authors
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-21
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper proposes a novel adaptive fuzzy super-twisting sliding mode control scheme for microgyroscopes with unknown model uncertainties and external disturbances.
Firstly, an adaptive algorithm is used to estimate the unknown parameters and angular velocity of microgyroscopes.
Secondly, in order to improve the performance of the system and the superiority of the super-twisting algorithm, this paper utilizes the universal approximation characteristic of the fuzzy system to approach the gain of the super-twisting sliding mode controller and identify the gain of the controller online, realizing the adaptive adjustment of the controller parameters.
Simulation results verify the superiority and the effectiveness of the proposed approach, compared with adaptive super-twisting sliding mode control without fuzzy approximation; the proposed method is more effective.
American Psychological Association (APA)
Fei, Juntao& Feng, Zhilin. 2019. Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope. Complexity،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1132588
Modern Language Association (MLA)
Fei, Juntao& Feng, Zhilin. Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope. Complexity No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1132588
American Medical Association (AMA)
Fei, Juntao& Feng, Zhilin. Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope. Complexity. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1132588
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132588