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RESEARCH PRODUCT
Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope
Juntao FeiZhilin Fengsubject
0209 industrial biotechnologyMultidisciplinaryArticle SubjectGeneral Computer ScienceAdaptive algorithmComputer science020208 electrical & electronic engineeringMode (statistics)Angular velocity02 engineering and technologyFuzzy control systemSliding mode controlFuzzy logiclcsh:QA75.5-76.95020901 industrial engineering & automationControl theory0202 electrical engineering electronic engineering information engineeringlcsh:Electronic computers. Computer sciencedescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2019-02-21 | Complexity |