Design and Experiment of MEMS Solid-State Wave Gyroscope Quadrature Error Correction System

The problem that the fuze overload signal sticks and is not easily identified by the counting layer during the high-speed intrusion of the projectile is an important factor affecting the explosion of the projectile in the specified layer. A three-pole plate dual-capacitance acceleration sensor based on the capacitive sensor principle is constructed in this paper. The modal simulation of the sensor structure is carried out using COMSOL 6.1 simulation software, the structural parameters of the sensor are derived from the mechanical properties of the model, and finally the physical sensor is processed and fabricated using the derived structural parameters. The mechanical impact characteristics of the model under different overloads were investigated using ANSYS/LS-DYNA, and the numerical simulation of the projectile intrusion into the three-layer concrete slab was carried out using LS-DYNA. Under different overload conditions, the sensor was tested using the Machette’s hammer test and the output signal of the sensor was obtained. The output signal was analyzed. Finally, a sensor with self-powered output, high output voltage amplitude, and low spurious interference was obtained. The results show that the ceramic capacitive sensor has a reasonable structure, can reliably receive vibration signals, and has certain engineering applications in the intrusion meter layer.

Section: Introductionmentioning

confidence: 99%

Structural Design of MEMS Acceleration Sensor Based on PZT Plate Capacitance Detection

Cui,

Chuai,

Huang

et al. 2023

“…In recent years, microelectromechanical systems (MEMS) sensors [ 1 ] have played a key role in many application areas, such as inertial navigation systems [ 2 , 3 ], automotive safety systems [ 4 ], aerospace systems [ 5 ], and smart electronics. Although MEMS sensors are designed and manufactured under strict quality control and testing [ 6 , 7 ], failures are still unavoidable due to uncertainties in the operating environment, device aging, and manufacturing defects, and incorrect sensor measurements can lead to serious consequences and even endanger personal safety. First, the complex and diverse operating principles and internal structures of MEMS sensors [ 8 ] make fault diagnosis complex and difficult.…”

Section: Introductionmentioning

confidence: 99%

A Fault Diagnosis Method of Four-Mass Vibration MEMS Gyroscope Based on ResNeXt-50 with Attention Mechanism and Improved EWT Algorithm

Wang²,

et al. 2023

Self Cite

In this paper, a fault identification algorithm combining a signal processing algorithm and machine learning algorithm is proposed, using a four-mass vibration MEMS gyroscope (FMVMG) for signal acquisition work, constructing a gyroscope fault dataset, and performing the model training task based on this dataset. Combining the improved EWT algorithm with SEResNeXt-50 reduces the impact of white noise in the signal on the identification task and significantly improves the accuracy of fault identification. The EWT algorithm is a wavelet analysis algorithm with adaptive wavelet analysis, which can significantly reduce the impact of boundary effects, and has a good effect on decomposition of signal segments with short length, but a reconstruction method is needed to effectively separate the noise signal and effective signal, and so this paper uses multiscale permutation entropy for calculation. For the reason that the neural network has a better ability to characterize high-dimensional signals, the one-dimensional signal is reconstructed into a two-dimensional image signal and the signal features are extracted. Then, the constructed image signals are fed into the SEResNeXt-50 network, and the characterization ability of the model is further improved in the network with the addition of the Squeeze-and-Excitation module. Finally, the proposed model is applied to the FMVMG fault dataset and compared with other models. In terms of recognition accuracy, the proposed method improves about 30.25% over the BP neural network and about 1.85% over ResNeXt-50, proving the effectiveness of the proposed method.

“…It is widely used in national defense [1], civil and commercial fields due to its advantages of long working hours, high stability and fast data update rate [2]. A gyroscope is the core component of an inertial navigation system [3], which is used to measure the angular velocity of the vector in the inertial space and the attitude of the vector [4]; the performance of the gyroscope plays a decisive role in the performance of the whole inertial navigation system [5]. Resonant gyroscopes use the resonant properties of vibration to measure rotation [6], and resonant fiber optic gyroscope (RFOG), a novel opto-electronic hybrid integrated sensor [7,8], measure the rotational angular velocity of the system by measuring the resonance frequency difference of clockwise (CW) and counterclockwise (CCW) light caused by the optical Sagnac effect.…”

Section: Introductionmentioning

confidence: 99%

Research on Optical Fiber Ring Resonator Q Value and Coupling Efficiency Optimization

Li,

Tian,

Tian

2023

The coupling efficiency of the fiber ring resonator has an important influence on the scale factor of the resonant fiber gyroscope. In order to improve the scale factor of the gyroscope, the coupling efficiency of the fiber ring resonator and its influential factors on the scale factor of the gyroscope are analyzed and tested. The results show that the coupling efficiency is affected by both the splitting ratio of the coupler and the loss in the cavity. When the coupling efficiency approaches 0.75 at the under-coupling state, the scaling factor of the gyroscope is the highest. This provides a theoretical reference and an experimental basis for the enhancement of the scaling factor of the resonant fiber gyroscope with the fiber ring resonator as the sensitive unit, providing options for multiple applications such as sea, land, sky and space.