MEMS gyroscope fault detection and elimination for an underwater robot using the combination of smooth switching and dynamic redundancy method

Mirzaei, Mojtaba; Hosseini, Iman; Ghaffari, Valiollah

doi:10.1016/j.microrel.2020.113677

Cited by 8 publications

(3 citation statements)

References 26 publications

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“…This effect causes a displacement or deformation in the rotor-typically designed as a microfabricated cantilever beam or tuning fork [9,10]-when it experiences motion within a rotating reference frame. Capacitive or optical sensing methods detect this change, allowing for the measurement of the Coriolis force and ultimately facilitating the determination of the object's rotational speed and direction [11][12][13][14]. The control circuit processes and amplifies this signal for transmission to the user or control system.…”

Section: Mems Gyroscope Rotor Working Principlementioning

confidence: 99%

“…By applying a known acceleration to the MEMS gyroscope rotor and performing an inverse Laplace transform, we can derive the rotor's time-domain response and its deflection behavior. Building upon established relationships between these functions [14,15], we can then determine the sensitivity function of the MEMS gyroscope rotor's output. This sensitivity function is critical in calculating the rotor's zero bias and scale factor, which are essential performance metrics.…”

Section: Mems Gyroscope Rotor Working Principlementioning

confidence: 99%

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Modeling and Reliability Analysis of MEMS Gyroscope Rotor Parameters under Vibrational Stress

Wang,

Pan,

et al. 2024

Micromachines

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Vibrational environments can cause drift or changes in Micro-Electro-Mechanical System (MEMS) gyroscope rotor parameters, potentially impacting their performance. To improve the effective use of MEMS gyroscopes, this study introduced a method for evaluating the reliability of parameter degradation under vibration. We analyzed the working principle of MEMS gyroscope rotors and investigated how vibration affects their parameters. Focusing on zero bias and scale factor as key performance indicators, we developed an accelerated degradation model using the distributional assumption method. We then collected degradation data for these parameters under various vibration conditions. Using the Copula function, we established a reliability assessment approach to evaluate the degradation of the MEMS gyroscope rotor’s zero bias and scale factor under vibration, enabling the determination of reliability for these parameters. Experimental findings confirmed that increasing stress levels lead to reduced failure times and increased failure rates for MEMS gyroscope rotors, with significant changes observed in the zero bias parameter. Our evaluation method effectively characterizes changes in the reliability of the MEMS gyroscope rotor’s scale factor and zero bias over time, providing valuable information for practical applications of MEMS gyroscopes.

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Section: Mems Gyroscope Rotor Working Principlementioning

confidence: 99%

Section: Mems Gyroscope Rotor Working Principlementioning

confidence: 99%

Modeling and Reliability Analysis of MEMS Gyroscope Rotor Parameters under Vibrational Stress

Wang,

Pan,

et al. 2024

Micromachines

View full text Add to dashboard Cite

show abstract

“…They also use fault detection methods to check the gyroscope’s state when the gyroscope is powered on or during its work [ 6 , 7 , 8 , 9 ]. In some high-reliability applications, a redundant design method can be used to combine multiple MEMS gyroscopes [ 10 ], but this will result in a significant increase in the SWaP (Size Weight and Power) of the system.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Built-In Self-Test of MEMS Gyroscope Based on Quadrature Error Signal

Feng

Wang

Qiao³

et al. 2021

Micromachines

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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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Design of Mechanical Equipment Fault Detection Robot Based on Electronic Tracing Algorithm

Yao

Khan²

2023

Lecture Notes on Data Engineering and Communications Technologies

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MEMS gyroscope fault detection and elimination for an underwater robot using the combination of smooth switching and dynamic redundancy method

Cited by 8 publications

References 26 publications

Modeling and Reliability Analysis of MEMS Gyroscope Rotor Parameters under Vibrational Stress

Modeling and Reliability Analysis of MEMS Gyroscope Rotor Parameters under Vibrational Stress

Real-Time Built-In Self-Test of MEMS Gyroscope Based on Quadrature Error Signal

Design of Mechanical Equipment Fault Detection Robot Based on Electronic Tracing Algorithm

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