A hull deformation measurement method based on fiber optic gyro angular rate matching in complex sea conditions

2021 ◽  
pp. 147509022110332
Author(s):  
Yao Li ◽  
Di Wang ◽  
Jinwu Tong
Keyword(s):  
Measurement Method ◽  
Fiber Optic ◽  
Finite Impulse Response ◽  
Angular Rate ◽  
External Noise ◽  
Deformation Measurement ◽  
Measurement Noise ◽  
Estimation Accuracy ◽  
Fiber Optic Gyro ◽  
Traditional System

In the conventional hull deformation measurement method, the external measurement noise is considered constant. However, due to the complex sea conditions and the high-frequency chatter caused by the waves, the measurement noise is colored noise. The aim of this paper is to develop a hull deformation measurement method based on fiber optic gyro (FOG) angular rate matching in complex sea conditions. On the one hand, the traditional system model is optimized to reduce the dimension, and a simplified linear state space model is proposed. On the other hand, a finite impulse response (FIR) low-pass digital filter is designed and introduced into the angular rate matching measurement method, so that the deformation estimation accuracy can still be maintained in complex sea conditions. The simulation and swing table test are designed to verify the effectiveness of the hull deformation measurement method proposed in this paper. The results show that the proposed method in this paper can effectively eliminate external noise interference and improve estimation accuracy.

Modeling Study on Random Error of Fiber Optic Gyro

2012 ◽  
Vol 239-240 ◽  
pp. 167-171
Author(s):  
Fan Zhang
Keyword(s):  
Random Walk ◽  
Random Error ◽  
Fiber Optic ◽  
Angular Rate ◽  
Measurement Unit ◽  
Random Errors ◽  
Fiber Optic Gyro ◽  
Zero Bias ◽  
Instability Rate ◽  
Bias Instability

An accurate modeling method for the random error of the fiber optic gyro (FOG) is presented. Taking the FOG in the inertial measurement unit of one specific inertial navigation system as the subject investigated, the method is composed of the data acquisition, preprocessing, establishing the FOG AR(2) model and performing Kalman filtering based on the model. The filtering result and the Allan variance analysis of FOG prove that the method effectively reduces the FOG random error, decreasing the angle random walk, zero-bias instability, rate random walk, angular rate ramp and quantification noise of FOG signals to less than one half of the corresponding values before the filtering of FOG random errors, which improves the accuracy of FOG.

scholarly journals Bridge continuous deformation measurement technology based on fiber optic gyro

2015 ◽  
Vol 6 (1) ◽  
pp. 71-77 ◽  
Author(s):  
Weibing Gan ◽  
Wenbin Hu ◽  
Fang Liu ◽  
Jianguang Tang ◽  
Sheng Li ◽  
...  
Keyword(s):  
Fiber Optic ◽  
Deformation Measurement ◽  
Measurement Technology ◽  
Fiber Optic Gyro ◽  
Continuous Deformation

Systematic calibration method based on acceleration and angular rate measurements for fiber-optic gyro SINS

2021 ◽  
Vol 92 (1) ◽  
pp. 015001
Author(s):  
Pingping Wang ◽  
Baofeng Lu ◽  
Pengxiang Yang ◽  
Feng Chen
Keyword(s):  
Fiber Optic ◽  
Angular Rate ◽  
Calibration Method ◽  
Fiber Optic Gyro

scholarly journals Online Estimation of ARW Coefficient of Fiber Optic Gyro

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Yang Li ◽  
Baiqing Hu ◽  
Fangjun Qin ◽  
Kailong Li
Keyword(s):  
Kalman Filter ◽  
Fiber Optic ◽  
Noise Analysis ◽  
Digital Simulation ◽  
State Space Model ◽  
Allan Variance ◽  
Measurement Noise ◽  
Fiber Optic Gyro ◽  
Online Estimation ◽  
Measurement Noise Covariance

As a standard method for noise analysis of fiber optic gyro (FOG), Allan variance has too large offline computational burden and data storages to be applied to online estimation. To overcome the barriers, the state space model is firstly established for FOG. Then the Sage-husa adaptive Kalman filter (SHAKF) is introduced in this field. Through recursive calculation of measurement noise covariance matrix, SHAKF can avoid the storage of large amounts of history data. However, the precision and stability of this method are still the primary matters that needed to be addressed. Based on this point, a new online method for estimation of the coefficient of angular random walk is proposed. In the method, estimator of measurement noise is constructed by the recursive form of Allan variance at the shortest sampling time. Then the estimator is embedded into the SHAKF framework resulting in a new adaptive filter. The estimations of measurement noise variance and Kalman filter are independent of each other in this method. Therefore, it can address the problem of filtering divergence and precision degrading effectively. Test results of both digital simulation and experimental data of FOG verify the validity and feasibility of the proposed method.

A Ship Deformation Measurement Method Based on Quasi-Static Model

2012 ◽  
Vol 566 ◽  
pp. 538-541
Author(s):  
Wei Gao ◽  
Hong Yang Shi ◽  
Xin Tao Liu ◽  
Yue Yang Ben
Keyword(s):  
Kalman Filter ◽  
Measurement Method ◽  
Fiber Optic ◽  
Static Model ◽  
Deformation Measurement ◽  
Fiber Optic Gyroscope ◽  
Matching Method ◽  
Practical Experiment ◽  
Actual Application ◽  
Sea Area

Angular matching method was used to measure ship’s deformation, three-axis fiber optic gyroscope units(FGU) are installed on various point of the ship, based on the model advanced by Mochalov, considering the character of ship’s static deforming angle varies, a quasi-static model was established, Kalman filter was introduced to estimate the ship’s quasi-static and dynamic deforming angles. To make the estimation more precise, gyro drifts was taking into account. Besides the theory simulation, practical experiment in sea area is also carried out, which lays the firm foundation for actual application of ship deformation measurement based on three-axis fiber optic gyroscope.

The Passive Resonator Fiber Optic Gyro and Comparison to the Interferometer Fiber Gyro

1987 ◽  
Author(s):  
R. Carroll ◽  
C. D. Coccoli ◽  
D. Cardarelli ◽  
G. T. Coate
Keyword(s):  
Fiber Optic ◽  
Fiber Optic Gyro

scholarly journals Novel MARG-Sensor Orientation Estimation Algorithm Using Fast Kalman Filter

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Siwen Guo ◽  
Jin Wu ◽  
Zuocai Wang ◽  
Jide Qian
Keyword(s):  
Kalman Filter ◽  
Process Model ◽  
Attitude Determination ◽  
Angular Rate ◽  
Estimation Algorithm ◽  
Measurement Model ◽  
Estimation Accuracy ◽  
Orientation Estimation ◽  
Kinematic Equation ◽  
Sensor Orientation

Orientation estimation from magnetic, angular rate, and gravity (MARG) sensor array is a key problem in mechatronic-related applications. This paper proposes a new method in which a quaternion-based Kalman filter scheme is designed. The quaternion kinematic equation is employed as the process model. With our previous contributions, we establish the measurement model of attitude quaternion from accelerometer and magnetometer, which is later proved to be the fastest (computationally) one among representative attitude determination algorithms of such sensor combination. Variance analysis is later given enabling the optimal updating of the proposed filter. The algorithm is implemented on real-world hardware where experiments are carried out to reveal the advantages of the proposed method with respect to conventional ones. The proposed approach is also validated on an unmanned aerial vehicle during a real flight. Results show that the proposed one is faster than any other Kalman-based ones and even faster than some complementary ones while the attitude estimation accuracy is maintained.

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