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Composite Neural Learning-Based Nonsingular Terminal Sliding Mode Control of MEMS Gyroscopes

IEEE Transactions on Neural Networks and Learning Systems, 2020
The efficient driving control of MEMS gyroscopes is an attractive way to improve the precision without hardware redesign. This paper investigates the sliding mode control (SMC) for the dynamics of MEMS gyroscopes using neural networks (NNs).
Bing Xu   +4 more
semanticscholar   +1 more source

NEMS Gyroscope

2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), 2017
Actually MEMS is a widely spread and well known term - Micro-Electro-Mechanical Systems. MEMS gyroscope is well known almost twenty years. For the time being NEMS is still a new term and it is meant Nano-Electro-Mechanical Systems. It is discussed NEMS gyroscope as a new angular rate sensor. It is suggested to use recently invented narrowest electrical
V. V. Avrutov   +6 more
openaire   +1 more source

Advances in Atomic Gyroscopes: A View from Inertial Navigation Applications

open access: yesSensors, 2012
With the rapid development of modern physics, atomic gyroscopes have been demonstrated in recent years. There are two types of atomic gyroscope. The Atomic Interferometer Gyroscope (AIG), which utilizes the atomic interferometer to sense rotation, is an ...
Fang Jiancheng
exaly   +2 more sources

On the effect of viscoelasticity on behavior of gyroscopes

, 2020
In the present study, the size- and time-dependent viscoelastic bending analysis of rotating spherical nanostructures made of functionally graded materials (FGMs) is performed.
S. Dastjerdi, B. Akgöz, Ö. Civalek
semanticscholar   +1 more source

Output Feedback Control of Micromechanical Gyroscopes Using Neural Networks and Disturbance Observer

IEEE Transactions on Neural Networks and Learning Systems, 2020
This article addresses the output feedback control of micromechanical (MEMS) gyroscopes using neural networks (NNs) and disturbance observer (DOB). For the unmeasured system states, the state observer and the high gain observer are constructed.
Rui Zhang, Bing Xu, P. Shi
semanticscholar   +1 more source

Terminal Sliding Mode Control of MEMS Gyroscopes With Finite-Time Learning

IEEE Transactions on Neural Networks and Learning Systems, 2020
This article proposes a neural terminal sliding mode controller (TSMC) with finite-time (FT) convergence for the uncertain MEMS gyroscope dynamics. To address the uncertainty, considering the periodic tracking property of MEMS gyroscopes, a composite ...
Yuyan Guo, Bing Xu, Rui Zhang
semanticscholar   +1 more source

A Low Noise Readout Circuit With Input-Common-Mode-Feedback Charge Sensitive Amplifier Using Differential Pseudo Resistors for MEMS Gyroscopes

IEEE Transactions on Circuits and Systems Part 1: Regular Papers
This paper aims to design a high-performance interface readout circuit for MEMS gyroscopes, focusing on the low-noise, fully integrated design of the front-end charge-sensitive amplifier (CSA) within the readout circuit. It first reveals the mechanism by
Wen-Bo Zhang   +10 more
semanticscholar   +1 more source

Triaxial MEMS Gyroscopes: A Review

IEEE Sensors Journal
As a fundamental component of inertial measurement, micro-electromechanical systems (MEMS) gyroscopes are extensively utilized in industrial robotics, drones, and personal navigation systems.
Wen-Qiang Wei   +7 more
semanticscholar   +1 more source

Three-Axis Attitude Estimation Using Rate-Integrating Gyroscopes

Journal of Guidance, Control, and Dynamics, 2016
John Crassidis, F Landis Markley
exaly   +2 more sources

Three-axis atomic magnetometer for nuclear magnetic resonance gyroscopes

, 2020
A three-axis atomic magnetometer for nuclear magnetic resonance gyroscopes (NMRGs) is demonstrated. To satisfy the miniaturization demand of NMRGs, a magnetic-resonance-based atomic magnetometer is used to detect the longitudinal magnetic field ...
Xu-Yang Qiu   +7 more
semanticscholar   +1 more source

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