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Abstract
In this study, a novel data-driven control scheme is presented for MEMS gyroscopes (MEMS-Gs). The uncertainties are tackled by suggested type-3 fuzzy system with non-singleton fuzzification (NT3FS). Besides the dynamics uncertainties, the suggested NT3FS can also handle the input measurement errors. The rules of NT3FS are online tuned to better compensate the disturbances. By the input-output data set a data-driven scheme is designed, and a new LMI set is presented to ensure the stability. By several simulations and comparisons the superiority of the introduced control scheme is demonstrated.
Highlights
The control problem of Micro-electro-mechanical-system gyroscopes (MEMS-Gs) can be challengeable, because the MEMS-Gs performance can be significantly influenced by fundamental perturbations such as time-varying dynamics, cross stiffness, external noises, and damping [1,2,3,4]
The chattering phenomenon in control signal applied to the MEMS-Gs has been removed by employing an integral sliding-mode control (SMC) [7]
An adaptive dynamic SMC with the sliding surface comprised of fractional-order terms has been utilized to control the Z-axis vibrating MEMS-Gs in [9], and an adaptive dynamic
Summary
Alattas 1 , Ardashir Mohammadzadeh 2, * , Saleh Mobayen 3, * , Ayman A. Future Technology Research Center, National Yunlin University of Science and Technology, Douliu 64002, Taiwan
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