Ring laser gyro.
نویسندگان
چکیده
منابع مشابه
Performance Modeling of Ring Laser Gyro in Inertial
In this paper, the performance of a Ring Laser Gyro based inertial navigation is investigated. Dynamic and stochastic modeling are applied to gyro simulation and performance evaluation. In the dynamic model, some parameters such as scale factor and environmental sensitivity have been determined, whereas in the stochastic model, the other parameters such as random drift and measurement noise...
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In air crafts, missiles and ships, during their motion, the sensors are prone to undergo lot of vibrations and shocks. Because of their sensitivity to these environments they malfunction. In order to avoid this situation all the sensors are modelled and analysed at the ground for different parameters viz. temperature, vibration and shock etc. A Ring Laser Gyro (RLG) is used for sensing the angl...
متن کاملSystematic Angle Random Walk Estimation of the Constant Rate Biased Ring Laser Gyro
An actual account of the angle random walk (ARW) coefficients of gyros in the constant rate biased rate ring laser gyro (RLG) inertial navigation system (INS) is very important in practical engineering applications. However, no reported experimental work has dealt with the issue of characterizing the ARW of the constant rate biased RLG in the INS. To avoid the need for high cost precise calibra...
متن کاملRing Laser Gyro G-Sensitive Misalignment Calibration in Linear Vibration Environments
The ring laser gyro (RLG) dither axis will bend and exhibit errors due to the specific forces acting on the instrument, which are known as g-sensitive misalignments of the gyros. The g-sensitive misalignments of the RLG triad will cause severe attitude error in vibration or maneuver environments where large-amplitude specific forces and angular rates coexist. However, g-sensitive misalignments ...
متن کاملLaser Gyro Temperature Compensation Using Modified RBFNN
To overcome the effect of temperature on laser gyro zero bias and to stabilize the laser gyro output, this study proposes a modified radial basis function neural network (RBFNN) based on a Kohonen network and an orthogonal least squares (OLS) algorithm. The modified method, which combines the pattern classification capability of the Kohonen network and the optimal choice capacity of OLS, avoids...
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ژورنال
عنوان ژورنال: Journal of the Japan Society for Precision Engineering
سال: 1988
ISSN: 1882-675X,0912-0289
DOI: 10.2493/jjspe.54.289