Results 151 to 160 of about 11,944 (194)
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Surface acoustic wave MEMS gyroscope

Wave Motion, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jose, K. A.   +4 more
openaire   +2 more sources

Active disturbance rejection control for MEMS gyroscopes

2008 American Control Conference, 2008
A new control method is presented to drive the drive axis of a MEMS gyroscope to resonance and regulate the output amplitude of the axis to a fixed level. It is based on a unique active disturbance rejection control (ADRC) strategy, which actively estimates and compensates for internal dynamic changes of the plant and external disturbances in real time.
Qing Zheng   +3 more
openaire   +1 more source

Modeling a Novel MEMS Gyroscope

ECS Meeting Abstracts, 2012
Abstract not Available.
Nilgoon Zarei   +2 more
openaire   +1 more source

Rotating and Gyroscopic MEMS Energy Scavenging

International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), 2006
Extracting energy from motion and vibration is an attractive route to powering wireless sensors, and MEMS (microelectromechanical systems) technology is well suited to miniaturizing such generators. Most reported MEMS motion-driven scavengers use linear displacement, and have very restricted output power. Here two alternatives are proposed and analyzed:
openaire   +1 more source

Reliability of vacuum packaged MEMS gyroscopes

Microelectronics Reliability, 2005
The greatest challenge for the successful commercialization of MEMS (micro-electro-mechanical system) technology is proving its reliability. Of concern in particular are the reliability and long-term stability of wafer level vacuum packaged MEMS gyroscope sensors subjected to cyclic mechanical stresses at high frequencies. In this study, we carried out
openaire   +1 more source

MEMS Gyroscopes’ Noise Simulation Algorithm

2019
MEMS gyroscopes are advantageous devices that promote a wide range of applications, however, they suffer from various stochastic errors some of which accumulate over time (angle random walk, bias random walk). To be able to use such devices, one should apply mathematical models of stochastic processes and hardware-software tools for investigation into ...
Dmytro V. Fedasyuk, Tetyana Marusenkova
openaire   +1 more source

System modeling of MEMS Gyroscopes

2007 Mediterranean Conference on Control & Automation, 2007
This paper presents a systematic approach to obtain governing equations of Micro Electro Mechanical Gyroscopes. The focus will be on vibratory type and its mechanical parameters, involved in modeling and designing, will be discussed due to their deep impact on overall performance of Gyroscopes.
Ramyar Rashed, H. Momeni
openaire   +1 more source

On the control of vibratory MEMS gyroscopes

Smart Structures and Systems, 2010
This paper addresses the control issue of vibratory MEMS-based gyroscopes. This study considers a gyroscope that can be modeled by an inner mass attached to an outer mass by four springs and four dampers. The outer mass itself is attached to the rotating frame by an equal number of springs and dampers.
S. Choura, N. Aouni, S. El-Borgi
openaire   +1 more source

A DRIE CMOS-MEMS gyroscope

Proceedings of IEEE Sensors, 2003
The gyroscope reported in this paper is a lateral-axis angular rate sensor with in-plane vibration and out-of-plane Coriolis acceleration sensing. The sensor plus on-chip CMOS circuitry is about 1 mm by 1 mm in size and is fabricated by a post-CMOS micromachining process that uses interconnect metal layers as etching mask(s) and a single-crystal ...
null Huikai Xie, G.K. Fedder
openaire   +1 more source

Bias Prediction for MEMS Gyroscopes

IEEE Sensors Journal, 2012
MEMS gyroscopes are gaining popularity because of their low manufacturing costs in large quantities. For navigation system engineering, this presents a challenge because of strong nonstationary noise processes, such as 1/f noise, in the output of MEMS gyros.
Takala Jarmo   +2 more
openaire   +1 more source

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