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In high-reliability applications, the health condition of the MEMS gyroscope needs to be known in real time to ensure that the system does not fail due to the wrong output signal. Because the MEMS gyroscope self-test based on the principle of electrostatic force cannot be performed during the working state. We propose that by monitoring the quadrature error signal of the MEMS gyroscope in real time, an online self-test of the MEMS gyroscope can be realized. The correlation between the gyroscope's quadrature error amplitude signal and the gyroscope scale factor and bias was theoretically analyzed. Based on the sixteen-sided cobweb-like MEMS gyroscope, the real-time built-in self-test (BIST) method of the MEMS gyroscope based on the quadrature error signal was verified. By artificially setting the control signal of the gyroscope to zero, we imitated several scenarios where the gyroscope malfunctioned. Moreover, a mechanical impact table was used to impact the gyroscope. After a 6000 g shock, the gyroscope scale factor, bias, and quadrature error amplitude changed by -1.02%, -5.76%, and -3.74%, respectively, compared to before the impact. The gyroscope failed after a 10,000 g impact, and the quadrature error amplitude changed -99.82% compared to before the impact. The experimental results show that, when the amplitude of the quadrature error signal seriously deviates from the original value, it can be determined that the gyroscope output signal is invalid.
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http://dx.doi.org/10.3390/mi12091115 | DOI Listing |
Micromachines (Basel)
July 2025
School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
With the advancement of error correction techniques such as quadrature suppression and mode matching, the bias stability and overall accuracy of MEMS gyroscopes have been greatly improved. However, scale-factor nonlinearity often being underestimated has emerged as a critical barrier to further performance enhancement in high-precision MEMS gyroscopes. This study investigates the mechanism of scale-factor nonlinearity in closed-loop MEMS gyroscopes and introduces the concept of scale-factor repeatability error.
View Article and Find Full Text PDFMicrosyst Nanoeng
August 2025
School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, 210000, China.
With the introduction of technologies such as structural optimization and error correction, the performance of the MEMS quad-mass gyroscope (QMG) has significantly improved, while noise has gradually become a critical factor limiting its performance. For ease of analysis, this paper categorizes noise into two types: noise at the signal detection end and noise at the excitation end. Firstly, a closed-loop noise model for QMG is established, and the effects of these two types of noise on the dynamic and static performance of QMG are investigated.
View Article and Find Full Text PDFMicrosyst Nanoeng
August 2025
State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, State Industry-Education Integration Center for Medical Innovations at Xi'an Jiaotong University, Xi'an Jiaotong University (Yantai) Research Institut
The development of micro-electro-mechanical system (MEMS) alkali metal vapor cells offers the potential for the batch fabrication of micro-quantum sensors for atomic clocks, atomic magnetometers and atomic gyroscopes. The sealing of MEMS vapor cells is traditionally achieved by anodic bonding. However, high-temperature and high direct-voltage conditions during anodic bonding adversely affect the performance of the vapor cell.
View Article and Find Full Text PDFMicrosyst Nanoeng
August 2025
National University of Defense Technology, Changsha, China.
Microelectromechanical systems (MEMS) gyroscopes with higher precision have always been a focal point of research. Due to limitations in resonant structure, fabrication processes, and measurement and control techniques, MEMS gyroscopes with bias instability better than 0.01°/h are still rare and expensive.
View Article and Find Full Text PDFMicrosyst Nanoeng
August 2025
Department of Precision Instrument, Tsinghua University, Beijing, 100084, PR China.
The rapid growth of the Internet of Things (IoT) and embodied intelligence has increased the demand for sensor nodes that conserve energy and reduce data transmission, especially in resource-limited applications that rely heavily on sensors. Event-based sensors have emerged to meet this demand by reducing data redundancy and lowering power consumption. Within this domain, MEMS (Micro-Electro-Mechanical Systems) inertial switches stand out as promising alternatives to traditional commercial accelerometers and gyroscopes, catering to the widespread need for inertial sensing.
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