Adaptive Control of MEMS Gyroscope Based on T-S Fuzzy Model
A multi-input multioutput (MIMO) Takagi-Sugeno (T-S) fuzzy model is built on the basis of a nonlinear model of MEMS gyroscope. A reference model is adjusted so that a local linear state feedback controller could be designed for each T-S fuzzy submodel based on a parallel distributed compensation (PD...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2015/419643 |
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| _version_ | 1832549378088239104 |
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| author | Yunmei Fang Shitao Wang Juntao Fei Mingang Hua |
| author_facet | Yunmei Fang Shitao Wang Juntao Fei Mingang Hua |
| author_sort | Yunmei Fang |
| collection | DOAJ |
| description | A multi-input multioutput (MIMO) Takagi-Sugeno (T-S) fuzzy model is built on the basis of a nonlinear model of MEMS gyroscope. A reference model is adjusted so that a local linear state feedback controller could be designed for each T-S fuzzy submodel based on a parallel distributed compensation (PDC) method. A parameter estimation scheme for updating the parameters of the T-S fuzzy models is designed and analyzed based on the Lyapunov theory. A new adaptive law can be selected to be the former adaptive law plus a nonnegative in variable to guarantee that the derivative of the Lyapunov function is smaller than zero. The controller output is implemented on the nonlinear model and T-S fuzzy model, respectively, for the purpose of comparison. Numerical simulations are investigated to verify the effectiveness of the proposed control scheme and the correctness of the T-S fuzzy model. |
| format | Article |
| id | doaj-art-642b2b667f3e402794bdae779b6b80a7 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-642b2b667f3e402794bdae779b6b80a72025-02-03T06:11:27ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2015-01-01201510.1155/2015/419643419643Adaptive Control of MEMS Gyroscope Based on T-S Fuzzy ModelYunmei Fang0Shitao Wang1Juntao Fei2Mingang Hua3College of Mechanical and Electrical Engineering, Hohai University, Changzhou 213022, ChinaCollege of IOT Engineering, Hohai University, Changzhou 213022, ChinaCollege of IOT Engineering, Hohai University, Changzhou 213022, ChinaCollege of IOT Engineering, Hohai University, Changzhou 213022, ChinaA multi-input multioutput (MIMO) Takagi-Sugeno (T-S) fuzzy model is built on the basis of a nonlinear model of MEMS gyroscope. A reference model is adjusted so that a local linear state feedback controller could be designed for each T-S fuzzy submodel based on a parallel distributed compensation (PDC) method. A parameter estimation scheme for updating the parameters of the T-S fuzzy models is designed and analyzed based on the Lyapunov theory. A new adaptive law can be selected to be the former adaptive law plus a nonnegative in variable to guarantee that the derivative of the Lyapunov function is smaller than zero. The controller output is implemented on the nonlinear model and T-S fuzzy model, respectively, for the purpose of comparison. Numerical simulations are investigated to verify the effectiveness of the proposed control scheme and the correctness of the T-S fuzzy model.http://dx.doi.org/10.1155/2015/419643 |
| spellingShingle | Yunmei Fang Shitao Wang Juntao Fei Mingang Hua Adaptive Control of MEMS Gyroscope Based on T-S Fuzzy Model Discrete Dynamics in Nature and Society |
| title | Adaptive Control of MEMS Gyroscope Based on T-S Fuzzy Model |
| title_full | Adaptive Control of MEMS Gyroscope Based on T-S Fuzzy Model |
| title_fullStr | Adaptive Control of MEMS Gyroscope Based on T-S Fuzzy Model |
| title_full_unstemmed | Adaptive Control of MEMS Gyroscope Based on T-S Fuzzy Model |
| title_short | Adaptive Control of MEMS Gyroscope Based on T-S Fuzzy Model |
| title_sort | adaptive control of mems gyroscope based on t s fuzzy model |
| url | http://dx.doi.org/10.1155/2015/419643 |
| work_keys_str_mv | AT yunmeifang adaptivecontrolofmemsgyroscopebasedontsfuzzymodel AT shitaowang adaptivecontrolofmemsgyroscopebasedontsfuzzymodel AT juntaofei adaptivecontrolofmemsgyroscopebasedontsfuzzymodel AT minganghua adaptivecontrolofmemsgyroscopebasedontsfuzzymodel |