Adaptive Fuzzy Sliding Mode Control of MEMS Gyroscope with Finite Time Convergence
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-04
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This paper presents adaptive fuzzy finite time sliding mode control of microelectromechanical system gyroscope with uncertainty and external disturbance.
Firstly, fuzzy system is employed to approximate the uncertainty nonlinear dynamics.
Secondly, nonlinear sliding mode hypersurface and double exponential reaching law are selected to design the finite time convergent sliding mode controller.
Thirdly, based on Lyapunov methods, adaptive laws are presented to adjust the fuzzy weights and the system can be guaranteed to be stable.
Finally, the effectiveness of the proposed method is verified with simulation.
American Psychological Association (APA)
Ren, Jianxin& Zhang, Rui& Xu, Bin. 2016. Adaptive Fuzzy Sliding Mode Control of MEMS Gyroscope with Finite Time Convergence. Journal of Sensors،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1110330
Modern Language Association (MLA)
Ren, Jianxin…[et al.]. Adaptive Fuzzy Sliding Mode Control of MEMS Gyroscope with Finite Time Convergence. Journal of Sensors No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1110330
American Medical Association (AMA)
Ren, Jianxin& Zhang, Rui& Xu, Bin. Adaptive Fuzzy Sliding Mode Control of MEMS Gyroscope with Finite Time Convergence. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1110330
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110330