2013
DOI: 10.1364/oe.21.002521
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A novel method for determining and improving the quality of a quadrupolar fiber gyro coil under temperature variations

Abstract: We introduce a parameter called pointing error thermal sensitivity (PETS) for quantitatively determining the quality of a quadrupolar (QAD) fiber coil under radial temperature variations. We show both analytically and experimentally that the pointing error of a fiber gyro incorporating the fiber coil is linearly proportional to the final radial thermal gradient on the coil, with PETS as the proportional constant. We further show that PETS is linearly proportional to another parameter called effective asymmetri… Show more

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Cited by 38 publications
(11 citation statements)
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“…The principal configuration of IFOG consists of six parts: light source, optical coupler, Y-branch, electro-optical phase modulator, photoelectric detector and fiber coil. It is well know that the stability performance of an IFOG is greatly worsened under the influence of time-varying temperature gradients, especially asymmetric temperature excitation, therefore the key problem in developing highly-accurate IFOGs is the compensation of thermally induced drifts errors [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 ]. Considering the characteristics of IFOGs, we concluded that thermally induced drift errors are mainly caused by the following five factors: unstable wavelength of the light source, the temperature drift of integrated optical devices (Y waveguide) [ 2 ], unstable performance of electronics, unstable performance of PN dark current and thermal noise of the photoelectric detector, and thermally induced changes of the refractive index of the fiber coil.…”
Section: Introductionmentioning
confidence: 99%
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“…The principal configuration of IFOG consists of six parts: light source, optical coupler, Y-branch, electro-optical phase modulator, photoelectric detector and fiber coil. It is well know that the stability performance of an IFOG is greatly worsened under the influence of time-varying temperature gradients, especially asymmetric temperature excitation, therefore the key problem in developing highly-accurate IFOGs is the compensation of thermally induced drifts errors [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 ]. Considering the characteristics of IFOGs, we concluded that thermally induced drift errors are mainly caused by the following five factors: unstable wavelength of the light source, the temperature drift of integrated optical devices (Y waveguide) [ 2 ], unstable performance of electronics, unstable performance of PN dark current and thermal noise of the photoelectric detector, and thermally induced changes of the refractive index of the fiber coil.…”
Section: Introductionmentioning
confidence: 99%
“…The fourth method is to improve the winding quality of the fiber coil. For example, quadrupolar (QAD) [ 12 ], random [ 13 ], octupolar [ 14 ], cross [ 15 , 16 ], crossover-free [ 17 ] and double-cylinder (D-CYL) [ 18 ] winding methods have all been investigated to reduce thermally induced nonreciprocal drift errors. Some time ago, the thermal performance of the cross winding method and the D-CYL were briefly compared, but only by a simulation method [ 19 ].…”
Section: Introductionmentioning
confidence: 99%
“…The positions and rotational movements that the turn table affords differ from the actual operating condition of INS; hence, the values of error parameters calibrated by the method above are not accurate enough for system requiremenst. Especially for FOG INS, a gyro's performance is more susceptible to environmental conditions, such as temperature, 13,14 magnetic field, 15 and vibration. 16 Therefore, for the sake of high-precision, conventional multiposition and rotation method is treated as a basic calibration in the proposed INS, and a precise calibration considering the sensors' actual operating condition is required.…”
Section: Introductionmentioning
confidence: 99%
“…Distributed stress sensing is another area of active research with many important applications [1][2][3][4], one of which is to measure the stresses along the fiber in a fiber gyro coil, the most critical component whose quality directly affects the accuracy of the gyro [5,6]. One of the most common coil defects is the stress induced during the coil winding process.…”
mentioning
confidence: 99%