Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope

Juntao Fei and Zhilin Feng

Complexity, 2019, vol. 2019, 1-13

Abstract:

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.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:6942642

DOI: 10.1155/2019/6942642

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