Modeling and neural sliding mode control of mems triaxial gyroscope
نویسندگان
چکیده
In this paper, a neural sliding mode control approach is developed to adjust the gain using radial basis function (RBF) network (NN) for tracking of Microelectromechanical Systems (MEMS) triaxial vibratory gyroscope. First with fixed proposed assure asymptotic stability closed loop system. Then RBF derived gradient method in switching law. With adaptive learning network, chattering phenomenon eliminated. Numerical simulation investigated verify effectiveness scheme.
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ژورنال
عنوان ژورنال: Advances in Mechanical Engineering
سال: 2022
ISSN: ['1687-8132', '1687-8140']
DOI: https://doi.org/10.1177/16878132221085876