Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope
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...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/6942642 |
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| _version_ | 1832564028935766016 |
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| author | Juntao Fei Zhilin Feng |
| author_facet | Juntao Fei Zhilin Feng |
| author_sort | Juntao Fei |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0d4deb36ff8d4795861416f42fb2961c |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-0d4deb36ff8d4795861416f42fb2961c2025-02-03T01:12:00ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/69426426942642Adaptive Fuzzy Super-Twisting Sliding Mode Control for MicrogyroscopeJuntao Fei0Zhilin Feng1College of IoT Engineering, Hohai University, Changzhou 213022, ChinaCollege of IoT Engineering, Hohai University, Changzhou 213022, ChinaThis 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.http://dx.doi.org/10.1155/2019/6942642 |
| spellingShingle | Juntao Fei Zhilin Feng Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope Complexity |
| title | Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope |
| title_full | Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope |
| title_fullStr | Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope |
| title_full_unstemmed | Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope |
| title_short | Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope |
| title_sort | adaptive fuzzy super twisting sliding mode control for microgyroscope |
| url | http://dx.doi.org/10.1155/2019/6942642 |
| work_keys_str_mv | AT juntaofei adaptivefuzzysupertwistingslidingmodecontrolformicrogyroscope AT zhilinfeng adaptivefuzzysupertwistingslidingmodecontrolformicrogyroscope |