As a new generation of optical inertial navigation products, fiber optic gyroscopes (FOGs) have become a new trend in modern international inertial autonomous navigation equipment due to their technical advantages of high precision, full solid-state, and high reliability. In recent years, with the rapid development of China's fiber optic gyro industry, the application fields of FOGs have begun to actively expand from traditional areas to emerging fields such as smart oceans, smart cities, and intelligent navigation. In this process, traditional design and manufacturing methods cannot meet the new demands of emerging fields for FOG industries, which include high precision, miniaturization, flexible design, batch manufacturing, intelligent networking, diversified interfaces, full lifecycle services, and low-cost commercialization. This paper attempts to explore a new system for the design, manufacturing, and full lifecycle management of fiber optic gyros based on digital twin technology. It aims to closely integrate digital twin technology with key links, scenarios, and objects in the fiber optic gyro to enhance the level of intelligence and the efficiency and reliability of design, production, and verification. It is hoped that this work can provide a reference for the further development and application of digital twins in high-tech product industries, taking fiber optic gyros as an example.
A novel fiber optic gyroscope with low coherence laser as driving light source is designed in this letter, the low coherence laser has higher average wavelength stability and lower relative intensity noise which is achieved by using Gaussian white noise phase modulation to broaden the linewidth of a DFB laser. The scale factor stability of FOG can be effectively improved when applied to FOG research.
As a new generation of optical gyroscope, FOG has been widely used in many important fields. With the wide application of high-precision FOG, users put forward higher requirements for the reliability of FOG. As a new research hotspot, the remaining life prediction and evaluation of high-precision FOG has become the focus of many technicians. This paper attempts to combine the residual life evaluation of high-precision FOG with deep learning algorithm, and uses deep learning method to evaluate the residual life of high-precision FOG. Experiments show that the method can effectively predict and evaluate the residual life of high-precision FOG. It achieves the purpose of accurate maintenance, repair and replacement, and is of great significance to improve the reliability of high-precision FOG.
The temperature drift causes the zero-bias drift of the fiber optic gyroscope to show complex nonlinear changes, which seriously restricts the measurement accuracy of the fiber optic gyroscope. Therefore, it is necessary to establish an accurate temperature compensation model to compensate for the temperature drift of the fiber optic gyroscope.In order to effectively improve the output accuracy of the fiber optic gyroscope under the condition of the full temperature range, the static full temperature bias test of the fiber optic gyroscope is first designed to obtain the bias data of the fiber optic gyroscope under the temperature change condition of -40℃~60℃. Secondly, on the one hand, a polynomial regression model is gradually established with temperature, temperature change and multiple powers as independent variables. On the other hand, the RBF neural network model is established after screening the input variables with the MIV algorithm. Finally, two models are used to achieve zero-bias temperature compensation. According to the compensation results, both can effectively improve the full temperature output accuracy of the fiber optic gyroscope. Compared with the polynomial regression model, the RBF neural network model can identify temperature drift more effectively and accurately, and greatly improve the output accuracy of the fiber optic gyroscope in the full temperature range.
As a new generation of INS products, high-precision FOG has been widely used. High precision fiber coil is the sensitive core of high precision fiber optic gyro. Its performance and reliability index determine the performance and reliability of high precision fiber optic gyro. In this paper, the key process methods and parameters that affect the performance and reliability of optical fiber coil are studied. Firstly, the process flow chart of high-precision fiber optic gyroscope is drawn, and every process link of high-precision fiber optic coil manufacture is deepened. Through theoretical analysis, the key process and process parameters affecting the performance and reliability of high-precision fiber optic coil are identified. Then carry out the corresponding process validation test at the same time, through the analysis of the test results to verify the previous theoretical analysis. Then the optimization design and reliability growth research are carried out for the key process, and the control of the key process is strengthened to improve the performance and reliability index of the coil from the process link.
As a new generation of optical gyroscope, fiber optic gyroscope has the characteristics of high precision, zero start, all solid state, high theoretical reliability, and has been widely used in many fields, such as sea, land, air and so on. In the assembly process of FOG, the fiber fusion technology is one of the key technologies of FOG. Its process method and parameters have a decisive influence on the performance and reliability of FOG. In this paper, the flow chart based on FOG fusion technology is established firstly, and the influence mechanism of FOG fusion technology on its performance and reliability is analyzed. Then, the relevant tests are designed and verified. Finally, the performance and reliability of FOG are improved by optimizing the technological parameters of fiber fusion and carrying out strict technological management system.
Different from the traditional mechanical gyroscope, fiber optic gyroscope (FOG) has the characteristics of fast start-up speed, high precision, small volume, and low cost, which has been widely used in the fields of sea, land, air and so on. With the wide application of FOG, the problem of its reliability has gradually emerged. Among all kinds of reliability problems, the problem of degradation of the input axis misalignment angle of high-precision FOG with the time is particularly prominent. If it cannot be solved as soon as possible, this problem will seriously affect the actual use of highprecision FOG In this paper, a fault tree is established, which takes the degradation of the input axis misalignment angle of high-precision FOG with time as the top event. The physical and chemical factors and manufactucoil process parameters that cause the degradation of the misalignment angle are analyzed. Through the study of the degradation mechanism, it is concluded that the change of the size stability of the fiber coil is one of the main factors that cause the degradation of the misalignment angle with time. Then we design and build a special testing system for the misalignment angle of highprecision FOG. The degradation mechanism of the misalignment angle of high-precision FOG is verified by experiments. The theoretical analysis and experimental results show that the stability of the size of fiber-optic coil changes with time, which will have a very bad impact on the reliability of the misalignment angle of FOG. Finally, through the design and process optimization, the reliability of the misalignment angle of gyro can be improved.
The improvement in the performance of fiber optic gyroscope raises increasingly high standard on the performance of potting adhesive for optical fiber coil. It cannot only enable the stability of coil potting, but also maintain long-term stability under complex environmental stress. In order to meet the indicators of temperature performance of optical fiber coil, we have prepared the acrylic matrix potting adhesive via UV photo-curing by grafting the hard-segment chain containing benzene ring with polyurethane acrylate(PUA) as the matrix, studied the influence of resin matrix, photoinitiator and active diluent on the UV curing of potting adhesive for optical fiber coil, and went into in details the indicators including the curing rate, modulus and glass transition temperature performance of potting adhesive so as to provide experimental support for obtaining the best matched UV potting adhesive curing system. In this study, we have characterized the molecular structure of potting adhesive via infrared spectroscopy, studied the thermomechanical properties of potting adhesive by thermal analysis, and finally verified the process stability of potting adhesive and the temperature characteristics of coil through coil winding and potting and curing.
The fiber optic gyroscope has become to one of the most important sensors in developing due to light in quality, high accuracy, compact in dimension and long life[1-4]. These features have developed new applications of the gyroscope not only in conventional aerospace application area but also in industrial application area, such as control and navigations of unmanned vehicles, antenna/camera stabilizers, and so on. More and more FOGs have been applied in all kinds of satellites for attitude control. With the great technology progress on fiber optic gyroscopes in recent years, the reliability of fiber optic gyroscopes has been focused on. The fiber coil, as one of the most critical components in fiber optic gyroscope,its reliability directly determines the reliability of the fiber optic gyro. This paper uses the Bayesian estimation method to study the reliability of the fiber coil. Aiming fiber optic gyroscope fiber coil Failure Data Reliability analysis of the problem, on the basis of analyzing the failure mode, select Weibull distribution as its life mode, the estimated time of each detection without failure data using Bayesian theory failure rate, and thus the estimated model parameters fiber coil reliability. The Bayesian estimation method combined with experience information greatly reduces the number of test samples, and to overcome the shortcomings of the traditional reliability evaluation method relies on failure data, has a high value in engineering applications. This estimation method shows its significance in saving test costs and time.
Fiber optic gyroscope (FOG) is a multi-technology product which integrates optics, mechanics and electricity. It has the advantages of high reliability, long life, light weight, small size and "all solid state". It has been widely used in military and civil fields such as sea, land, air, sky and submarine, and has become the mainstream gyroscope in the field of inertial technology. With the widespread application of FOG, the degradation of its key performance indicators gradually emerges as time goes on. Therefore, it is urgent to obtain the reliability index of FOG. In order to obtain reliable reliability index of FOG with time and cost saving as much as possible, it is necessary to choose reasonable acceleration test method, acceleration model and life distribution model to study the acceleration life model of high precision FOG. To this end, this paper carries out the following aspects of work: (1) The basic composition and main reliability index of high precision fiber optic gyroscope are introduced. (2) The sensitive stress of high-precision FOG is temperature and humidity. A high-precision FOG acceleration model based on temperature-humidity double-stress Peck model is established for the first time. (3) The life distribution model based on drift Brownian motion is analyzed, and the applicability of the life distribution model is determined by Monte Carlo simulation combined with the acceleration model of Peck model. (4) According to the performance degradation data of accelerated life test of FOG, the reliability of life distribution model of high precision FOG is evaluated.
On the base of an analyzing system, we demonstrate a testing method to reveal whether the FOG scale factor is stability after a long term ageing. The temperature of the chamber is set to 85°C in order to accelerate ageing of the adhesive. The FOG scale factor data is sampled each month. Results show that the MTTF (Mean Time to Failure) of the FOG coils is not satisfied with the application need. The analyzing system has good application prospects in testing the instabilities of the FOG’s Scale Factor.
The fiber optic gyroscope (FOG) has become to one of the most important sensors in developing due to light in quality, high accuracy, compact in dimension and long life. These features have developed new applications of the gyroscope not only in conventional aerospace application area but also in industrial aerospace, such as control and navigations of unmanned vehicles, antenna/camera stabilizers, and so on. Fiber coil is the core of fiber optic gyroscope. The accuracy of fiber optic gyroscope depends on the temperature performance of fiber coil.
In this paper, the temperature transient error model was built based on discrete mathematics model of SHUPE error in the Fiber optic gyroscope and the element physical model of the fiber coil. Based on the temperature distribution model mentioned above, the effects of the coil with different winding method and different geometric dimensions on the temperature performance of FOG were simulated under the same temperature condition. Theoretical analysis and experimental results showed by optimizing the design of the fiber coil, the temperature error of fiber coil can be reduced obviously.
Compared with the traditional gyros, Fiber optic gyroscope (FOG) based on sagnac effect has the significant features, such as, long life, low cost, wide dynamic range, etc. These features have developed new applications of the gyroscope not only in industrial application area but also in aerospace application area. Now, the FOG has played a very important role in shipborne Strapdown Inertial Navigation System (SINS). The fiber coil, as one of the most critical components in FOG, is extremely sensitive to changes in temperature. Here, by study the environment temperature in shipborne SINS, the temperature performance of the FOG was analyzed. Firstly, on the base of the research about the theory of Shupe non-reciprocal errors caused by temperature, the discrete mathematics formula of the temperature error in FOG of SINS was built .Then the element model of the fiber coil in SINS was built based on the discrete model of the fiber coil in temperature error in FOG. A turn-by-turn quantization temperature bias error model is establish. Finally, based on the temperature models mentioned above, the temperature performance of FOG in shipborne SINS was analyzed. With finite element analysis, numerical simulations were carried out to quantitatively analyze the angular error induced by temperature excitation in SINS. The model was validated by comparing numerical and experimental results.
The fiber optic gyroscope has became to one of the most important sensors in developing due to light in quality, high accuracy, compact in dimension and long life and has played a very important role in both military and civil use. The fiber coil, as one of the most critical components in FOG, is extremely sensitive to changes in temperature. In this paper, at first, by studying the thermal stress of fiber optic gyros, the element model of the fiber coil was built based on the discrete mathematics formulae of Shupe error in FOG. Then based on the temperature distribution model mentioned above, the effects of the Shupe-like bias caused by thermal stress and the Shupe bias caused by temperature gradient are simulated. A turn-by-turn quantization bias error model is established. Theoretical analysis and experimental results show the Shupe-like bias caused by thermal stress and the Shupe bias caused by temperature gradient had seriously affected the temperature performance of FOG. By optimizing the winding method of fiber coil, the Shupe error of fiber coils can be reduced. At the same time, Shupe-like bias caused by thermal stress can be reduced too.
The fiber optic gyroscope (FOG)based on Sagnac effect has became to one of the most important sensors in developing due to light in quality, high accuracy, compact in dimension and long life and has played a very important role in both military and civil use. It is the most difficult problem that the FOG has an obvious bias drift caused by temperature change and temperature grade, so its application is limited to a great extent. Fiber coil is one of the most critical components in FOG. Here, the characteristic of temperature error of the fiber optical coil was analyzed. At first, by studying the glass transition of coating adhesive in the fiber coil, the element model of the fiber coil with the glass transition of coating adhesive in FOG was built. Then the discrete mathematics model of SHUPE error with the glass transition of coating adhesive in FOG was built. Finally, based on the temperature models mentioned above, the effects caused by the glass transition of coating adhesive on temperature performance of fiber optic gyroscope were analyzed. Theoretical analysis and experimental results show that effect caused by the glass transition of coating adhesive had seriously affected the temperature performance of FOG. By optimizing the glass transition temperature of coating adhesive, the SHUPE error of fiber coils can be reduced. At the same time, the amplitude uniformity of the SHUPE error can be improved greatly to reduce the difficulty in temperature compensation.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.