An optimal open-loop multimode fiber gyroscope for rate-grade performance applications

Medjadba, H.; Lecler, Sylvain; Simohamed, Lotfy Mokhtar; Fontaine, Joël; Kiefer, Renaud

doi:10.1016/j.yofte.2011.06.018

Cited by 8 publications

(5 citation statements)

References 22 publications

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“…In this work, data are collected from a closed-loop IFOG at room temperature with different conditions. In the static condition, IFOG gyro is in zero rotation (motionless) at room temperature, where as in the dynamic condition, single IFOG sensor is mounted on a moving base rate table with different rotation rates at room temperature [49][50][51].…”

Section: Simulations and Resultsmentioning

confidence: 99%

“…The bandwidth of gyro is 50 Hz. The rotation rate of the table is increased in a step manner starting from 0°/s and varying between desired maximum and minimum rates [49,52]. In this study, ±200, ±10 and ±6°/s step signals data are recorded at room temperature for 3 h duration with sampling frequency as 400 Hz [50,51].…”

Section: Dynamic Performance Test Analysismentioning

confidence: 99%

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Adaptive sampling strong tracking scaled unscented Kalman filter for denoising the fibre optic gyroscope drift signal

Narasimhappa

Sabat

Nayak

2015

IET Science, Measurement & Technology

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The interferometric fibre optic gyroscope (IFOG) is a kernel component of strap down inertial navigation system (SINS) for providing angular rotation of any moving object. The behaviour of SINS degrades because of noise and random drift errors of the IFOG sensor. This study proposes a hybrid of adaptive sampling strong tracking algorithm (ASSTA) and scaled unscented Kalman filter algorithm for denoising the IFOG signal. In this algorithm, the state error covariance (P) is updated by using a suboptimal fading factor based on the innovation sequence followed by the ASSTA method. The proposed algorithm is applied for denoising the IFOG signal under static and dynamic environment to crush the random drift errors and noises. Allan variance analysis is used for analysing the efficiency of algorithms. Simulation results depict that the suggested algorithm is suitable for reducing drifts of the gyro signal.

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Section: Simulations and Resultsmentioning

confidence: 99%

Section: Dynamic Performance Test Analysismentioning

confidence: 99%

Adaptive sampling strong tracking scaled unscented Kalman filter for denoising the fibre optic gyroscope drift signal

Narasimhappa

Sabat

Nayak

2015

IET Science, Measurement & Technology

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“…In open loop approach, a lock in amplifier is used to measure the photo detector output at the fundamental mode frequency and the rotate rate is directly computed from this measurement [13], [14]. Additionally, the amplitude of the second and higher harmonics may also be measured to compensate for the variations in the returning optical power and changes in the amplitude of different phase modulation [15].…”

Section: The Open Loop Configurationmentioning

confidence: 99%

Comparative Assessment on Linearity Test based V2π and Vπ/2 Voltage Variations of Closed Loop IFOG

Sireesha¹,

Murthy²

2016

IJECE

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Interferometric Fiber Optic Gyroscope (IFOG) has to operate in closed loop condition to achieve inertial grade performance. The closed loop system is mainly depends upon the amplitude of the ramp signal (V2π of IOC) and bias (square wave) signal frequency (f<sub>bias</sub>). The digital phase ramp function is given as feedback to the optical system and makes gyro to null condition. The peak-to-peak amplitude (Vπ/2) of biasing signal is one-fourth of the ramp amplitude (V2π). If there are any variations in the amplitude of the ramp and biasing signals, then it introduces variations in the gyro performance. In this paper, a comparative discussion made in the gyro parameters for three cases: (i) V2π (vary) & Vπ/2 (constant), (ii) Vπ/2 (vary) & V2π (constant) and (iii) both V2π and Vπ/2 are varying simultaneously. The effects on gyroscope are described with the derived values in terms of linearity. From the experimental results, it was observed that the gyro output is very sensitive with respect to V2π variations and obtained the percentage error of 10% in gyro output, but very less effect due to Vπ/2 variations. So, the proper resetting of ramp voltage (V2π) is required to avoid nonlinearities and instabilities in gyro output.

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“…Several configurations have been proposed: open loop interferometer, resonant ring, Brillouin gyroscope, etc. Cheaper multimode optical fiber gyroscopes have also been proposed for rate-grade applications [Medjadba et al, 2011] when classical micromechanical systems cannot be used.…”

Section: Rotation Rate Measurementmentioning

confidence: 99%

Intrinsic Optical Fiber Sensor

Lecler¹,

Meyrueis²

2012

Fiber Optic Sensors

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An optimal open-loop multimode fiber gyroscope for rate-grade performance applications

Cited by 8 publications

References 22 publications

Adaptive sampling strong tracking scaled unscented Kalman filter for denoising the fibre optic gyroscope drift signal

Adaptive sampling strong tracking scaled unscented Kalman filter for denoising the fibre optic gyroscope drift signal

Comparative Assessment on Linearity Test based V2π and Vπ/2 Voltage Variations of Closed Loop IFOG

Intrinsic Optical Fiber Sensor

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