Adaptive Neural Backstepping PID Global Sliding Mode Fuzzy Control of MEMS Gyroscope

Adaptive Neural Backstepping PID Global Sliding Mode Fuzzy Control of MEMS Gyroscope

An adaptive global sliding mode fuzzy control using radial basis function (RBF) neural network (NN) based on backstepping technique is presented for a micro electromechanical systems (MEMS) gyroscope. The proportion integral differential (PID) sliding surface has the capacity of restraining the stea...

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Bibliographic Details
Main Authors: Yundi Chu, Juntao Fei, Shixi Hou
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Micro electromechanical systems gyroscope
PID global sliding mode control
RBF neural network control
backstepping control
fuzzy control
Online Access:https://ieeexplore.ieee.org/document/8673550/

Internet

https://ieeexplore.ieee.org/document/8673550/

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