Abstract
As a second-generation fiber optic gyro (FOG), the resonator fiber optic gyro (RFOG) has great potential in miniaturization and high-precision application. At present, white noises in the system have become important factors restricting the performance improvement of RFOG. For the first time, the shot noise, thermal noise, and relative intensity noise in the RFOG are analyzed and modeled, which are used to establish the angular random walk (ARW) model of RFOG. Based on the ARW model, an improvement method of ARW is proposed by adjusting the modulation frequency. In order to make this method effective, we use the particle swarm optimization algorithm to optimize the multi-parameter involved in ARW. Then, the experiment of optimizing modulation frequency is executed, which verifies that this method can effectively improve ARW and reduce the influence of white noises in RFOG.
Highlights
Gyro is an inertial device for measuring rotation velocity
In order to verify the significance of modulation frequency optimization, the modulation frequency is changed under the premise that other system parameters are unchanged
Data for each group of experiments is collected for 1200 seconds. It can be clearly seen from the figure that the gyro output amplitude is gradually smaller when the modulation frequency is from 21 kHz to101 kHz and to 61 kHz
Summary
Gyro is an inertial device for measuring rotation velocity. Mechanical gyro, laser gyro, fiber optic gyro, and micro-optical gyro are widely applied in different fields [1]–[6]. Non-reciprocity errors and white noises in RFOG are two main factors limiting the performance improvement. Guillen-Torres et al analyzed the amplitude noise of resonant micro-optical gyro, and established gyro standard deviation model for different noise components [22]. The shot noise, thermal noise and relative intensity noise existing in the RFOG system are combined with signal processing to establish ARW model. For the main system parameters involved in the ARW model, we first analyze their impacts on ARW respectively in different modulation frequencies. This step can only determine the approximate optimization range of each parameter, and cannot optimize the multi-parameter at the same time. Through theoretical and experimental verification, reasonable setting of the modulation frequency can effectively improve the ARW, thereby improving the gyro performance
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