Design and optimization of a resonant output frequency gyroscope for robust sensitivity and bandwidth performance

Sun, Jianfei; Fan, Shangchun; Shi, Hongxing; Xing, Weiwei; Zhao, Chunyu; Li, Cheng

doi:10.1007/s00542-015-2730-1

Cited by 8 publications

(8 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The input uncertain parameters investigated here are: incidence angle 0  , inner diameter d, sound speed of fluid in the pipe 0 c , sound speed inside transducer material k c , density  , dynamic viscosity  , and transit-time difference t . It is not possible to obtain the real value of each uncertain parameter and its distribution, so it is assumed that all of these input parameters obey the Gaussian distribution [11,13]. In Gaussian distribution of each uncertain input parameter, the mean value x is set as parameter value, the standard deviation σ shows the uncertainty of this parameter…”

Section: Uncertainty Analysis Methodsmentioning

confidence: 99%

“…The stochastic convergence analysis is conducted by analyzing the mean value and standard deviation of the input and output parameters with different numbers of samples. When the number of samples increases, the mean value and standard deviation of the input parameters converge to the nominal mean value and standard deviation of the Gaussian distribution and the mean value and standard deviation of the output parameters will also converge within a certain tolerance [11][12][13][14][15]. Through stochastic convergence analysis, the number of selected samples is determined to be appropriate and make sure the selected samples are representative.…”

Section: Uncertainty Analysis Methodsmentioning

confidence: 99%

“…Peng and Y. Zhang applied a sample-based stochastic model to investigate the influences of different uncertain parameters in the solid-liquid-vapor phase change processes and find the key parameters which have the dominant effects [11]. H. Shi, et al applied the uncertainty analysis method based on sample-based stochastic model in sensor structure design and optimization [12][13][14]. And the effects of uncertain parameters were also investigated using a sampling-based stochastic model in thermal damage to living biological tissues [15], the optical fiber drawing process [16,17].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Study on the Influences of Multiple Parameters With Uncertainty in the Clamp-On Ultrasonic Flowmeter

Shi

Kang

et al. 2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

For a clamp-on ultrasonic flowmeter based on transit-time differential method, the flow rate calculation model with flow velocity correction is established and verified by experiments carried out in a flow standard facility. Based on established flow rate calculation model, a systematic methodology incorporating the parametric uncertainty distribution is proposed to analyze the influences of multiple parameters with uncertainty on measurement error by establishing the sample-based stochastic model. Monte Carlo sampling (MCS) method is used to randomly select the value of each parameter from its prescribed Gaussian distribution and then combining them together as one sample, and the number of selected samples is determined by conducting stochastic convergence analysis of mean value and the standard deviation of input and output parameters. And finally the influence degrees of multiple parameters are analyzed and compared quantitatively on the same dimension to find out which parameters are influential and which are negligible. The results reveal the different influences of multiple parameters with uncertainty, which can be used as reference for performance improvement and measuring error analysis of the clamp-on ultrasonic flowmeter in industrial local measurement. INDEX TERMS clamp-on ultrasonic flowmeter; transit-time differential method; influence of multiple parameters with uncertainty; sample-based stochastic model

show abstract

Section: Uncertainty Analysis Methodsmentioning

confidence: 99%

Section: Uncertainty Analysis Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Study on the Influences of Multiple Parameters With Uncertainty in the Clamp-On Ultrasonic Flowmeter

Shi

Kang

et al. 2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

show abstract

“…In Ref. 12, the authors presented the design and optimization of a ROG and made the gyroscope prototype with fused silica in atmospheric pressure. The test results show that the scale factor can reach 4.04 Hz/(deg /s), but the drive-mode frequency of the Coriolis mass is only 31.59 Hz.…”

Section: -3226/2018/8(2)/025017/16mentioning

confidence: 99%

Design and analysis of a novel dual-mass MEMS resonant output gyroscope

et al. 2018

View full text Add to dashboard Cite

This paper presents the design and analysis of a novel dual-mass microelectromechanical systems (MEMS) resonant output gyroscope (ROG), which can effectively eliminate the influence of common-mode disturbance, such as the linear acceleration, on the gyroscope working mode by the design of dual-mass form, as well as on the frequency outputs of the double-ended tuning fork (DETF) resonators by the differential arrangement. The concept of the ROG is introduced first. Then the dynamics of the gyroscope and the force-frequency characteristics of the DETF resonator are theoretically analyzed. By establishing the distribution coefficient of force and the reasonable equivalent of the force-frequency characteristics of the DETF resonator, the accurate expression of the device sensitivity is obtained. Based on the analysis results, the leverage mechanism and the DETF resonator are designed in detail. Then the configuration of the gyroscope, a dual-mass structure, is given. Finally, the validity of the analysis and design are verified by numerical simulations.

show abstract

“…In the conditions of a three-axis swinging of AC, the impedance surface of the float generates moments of the Coriolis inertia forces [ 18 ], which the gyroscope responds to. Moreover, the moments when the vectors are directed along the input axis of the gyroscope directly cause the precession of the movable part of the device with an angular velocity

where H, I z are the angular momentum of the gyroscope and the moment of inertia of the float respectively.…”

Section: Diffraction Of Sound Waves On the Suspension Of The Gyrosmentioning

confidence: 99%

The Additional Error of Inertial Sensors Induced by Hypersonic Flight Conditions

Карачун

Mel’nick

Korobiichuk

et al. 2016

Sensors

View full text Add to dashboard Cite

The emergence of hypersonic technology pose a new challenge for inertial navigation sensors, widely used in aerospace industry. The main problems are: extremely high temperatures, vibration of the fuselage, penetrating acoustic radiation and shock N-waves. The nature of the additional errors of the gyroscopic inertial sensor with hydrostatic suspension components under operating conditions generated by forced precession of the movable part of the suspension due to diffraction phenomena in acoustic fields is explained. The cause of the disturbing moments in the form of the Coriolis inertia forces during the transition of the suspension surface into the category of impedance is revealed. The boundaries of occurrence of the features on the resonance wave match are described. The values of the “false” angular velocity as a result of the elastic-stress state of suspension in the acoustic fields are determined.

show abstract

Design and optimization of a resonant output frequency gyroscope for robust sensitivity and bandwidth performance

Cited by 8 publications

References 35 publications

Study on the Influences of Multiple Parameters With Uncertainty in the Clamp-On Ultrasonic Flowmeter

Study on the Influences of Multiple Parameters With Uncertainty in the Clamp-On Ultrasonic Flowmeter

Design and analysis of a novel dual-mass MEMS resonant output gyroscope

The Additional Error of Inertial Sensors Induced by Hypersonic Flight Conditions

Contact Info

Product

Resources

About