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In-out Characteristic Modeling And Compensation Technology Investigation On Optic Gyroscope

Posted on:2003-06-21Degree:MasterType:Thesis
Country:ChinaCandidate:G F LiuFull Text:PDF
GTID:2168360092966462Subject:Precision instruments and machinery
Abstract/Summary:PDF Full Text Request
Optic gyro (including ring laser gyro and fiber optic gyro etc) is an angle rate sensor, which is on the base of Sagnac generalized relativity effect. It shows the direction of inertia instrument and inertia component, which has lots of advantage such as not sensitive to g, quick startup, long use, no motive parts, can endure strong vibration and high acceleration, broadly dynamic range, good linearity of scale factor, high output rate and high frequency bandwidth, low input of volts d.c., digital output, low weight and so on. For the advantage as above, the optic gyro is very potential to the strap-down inertia navigation system. In this paper, fiber optic gyro is viewed as the object of investigation and several aspects is investigated as follows.Two important indexes-bias instability and scale factor were measured and investigated. Moreover, the fiber optic gyro is used to sense earth rate.As we all known that the angle random walk, bias instability, rate random walk, rate ramp, quantization noise, Markov noise and sinusoidal noise may have an effect on the performance of fiber optic gyro. But the most common noise is angle random walk, bias instability, rate random walk, rate ramp and quantization noise. In this paper, the random error model including the most common five noise as above.The in-out characteristic (static state) of fiber optic gyro is essentially stochastic process, which is described by the ARMA model. In general, AR (1) andAR (2) are the suitable model of in-out characteristic of fiber optic gyro.According to the model of in-out characteristic of fiber optic gyro, the test data of in-out characteristic of fiber optic gyro is dealt with filter and compensation and the effect is better in this paper.
Keywords/Search Tags:fiber optic gyro, random error model, ARMA model, error compensation
PDF Full Text Request
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