Ship deformation measurement based on angular rate matching method and Quasi-static model

Author(s):  
Xiuwei Xia ◽  
Qian Sun ◽  
Ya Zhang ◽  
Yanyan Wang ◽  
Yue Zhang
2012 ◽  
Vol 566 ◽  
pp. 538-541
Author(s):  
Wei Gao ◽  
Hong Yang Shi ◽  
Xin Tao Liu ◽  
Yue Yang Ben

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.


Author(s):  
Yao Li ◽  
Di Wang ◽  
Jinwu Tong

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.


1985 ◽  
Vol 46 (C4) ◽  
pp. C4-321-C4-329 ◽  
Author(s):  
E. Molinari ◽  
G. B. Bachelet ◽  
M. Altarelli

2007 ◽  
Vol 127 (4) ◽  
pp. 573-580 ◽  
Author(s):  
Toshiyuki Sawa ◽  
Yuji Nakata ◽  
Mitsuo Tsurugai ◽  
Shigenari Sugiyama

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