0167-9317/$ see front matter 2012 Elsevier B.V. A http://dx.doi.org/10.1016/j.mee.2012.02.022 ⇑ Corresponding author. Tel.: +82 31 219 2488; fax E-mail address: [email protected] (K. Lee). This study proposes a new dual-axis sensing gyroscope based on SAW (surface acoustic wave), in which two substrates are bonded together and completely sealed. The gyroscope on the bottom substrate is used fo...

This paper describes the development of Fiber Optic Gyroscope (FOG) for Space applications at LEOS. The sensor has all solid-state optical devices for the precise measurements of mechanical rotation. The basic phenomenon underlying optical rotation sensing is known as the Sagnac effect. In the Sagnac effect two identical light beams traveling in opposite directions around a closed loop path exp...

A new robust multi-degree of freedom (multi-DOF) MEMS gyroscope is presented in this paper. The designed gyroscope has its bandwidth and amplification factor of the sense mode adjusted more easily than the previous reported multi-DOF MEMS gyroscopes. Besides, a novel spring system with very small coupling stiffness is proposed, which helps achieve a narrow bandwidth and a high amplification fac...

Friction between contacting surfaces of metal materials restricts the application of mechanical support in the high-precision inertial device of a rotational gyroscope. Instead, a diskor ring-shaped rotor is electrostatically or magnetically suspended. However, stability of the rotor suspension restricts further improvement of the measurement precision. In the developed rotational gyroscope, a ...

in this paper, controlling the gyros with linear plus cubic damping is considered. hence, an adaptive control algorithm is proposed to overcome the uncertainties in model parameters and the chaotic behavior of gyroscopes. it is noted that for general applications dynamic model coefficient of gyros is not precisely determined, on the other hand, with respect to a particular coefficient gyroscope...

In this paper statistical and time series models are used for determining the random drift of a dynamically Tuned Gyroscope (DTG). This drift is compensated with optimal predictive transfer function. Also nonlinear neural-network and fuzzy-neural models are investigated for prediction and compensation of the random drift. Finally the different models are compared together and their advantages a...