Angle Random Walk Minimization for Frequency Modulated Gyroscopes

Sabater, Andrew B.; Moran, Kari M.

doi:10.1109/isiss.2019.8739529

Cited by 7 publications

(4 citation statements)

References 8 publications

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“…When the driving force cancels out the AC component of the equivalent damping, the angular rate information can also be extracted from the driving force. The algebraic subtraction of F xa and F ya can be written as equation (21). The SF and ZRO of AM output can be expressed as equations ( 22) and ( 23), respectively:…”

Section: The Principle Of Am/fm Signal Readout Of Lfm Modementioning

confidence: 99%

“…Although the SNR of the AM readout of the LFM mode when only the Y mode signal is used seems worse than that of the conventional AM mode, it should be noted that the X mode signal also contains angular rate information. Since the AM output of LFM mode can be obtained from both the X and Y mode, the final output can be obtained according to equation (21), resulting in an improvement of the SNR for the AM readout of the LFM gyroscope. Thus, the SNR is expressed by equation (38):…”

Section: Noise Analysis Of Am Signal Processing Channel Of Lfm Modementioning

confidence: 99%

“…However, a notable limitation of the LFM gyroscope is its low short-term accuracy [21], which is due to the relatively large phase noise equivalent angular rate of the FM signal compared to AM gyroscopes [22]. The Boser team at Berkeley proposed that the angular rate information can also be extracted from the sustaining force amplitude of LFM mode [18]; further work combining AM output with FM output to both extend the bandwidth and improve the gyroscope performance is reported in [23].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Noise analysis and modeling for a digital control architecture for Lissajous frequency-modulated MEMS gyroscope with amplitude-modulated readout

Wang

Zheng

Shen

et al. 2023

J. Micromech. Microeng.

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We report a digital control architecture which demodulates both amplitude modulated (AM) and frequency modulated (FM) rate information simultaneously from gyroscope working in Lissajous frequency modulated (LFM) mode. The angular rate information is derived from both quadrature (X and Y) resonance modes of the gyroscope simultaneously. Noise model for the AM signal processing channel of the LFM gyroscope is built, analyzed and compared with that of conventional AM gyroscope, which shows that methods to improve performance of conventional AM gyroscope also applies to the AM signal processing channel of LFM gyroscope. The angular rate output obtained from the AM information of LFM gyroscope has better noise characteristics which therefore supplements the low precision inadequacy of the FM signal channel of LFM mode. Test results for the same gyroscope working in different control architectures are conducted. The ARW and BI of the AM channel of the proposed architecture is 0.51 deg/√h and 1.8 deg/h respectively, which is better than the results obtained from the FM channel in the same architecture with value of 0.99 deg/√h and 4.3 deg/h respectively. Also the AM output of the proposed architecture is better than the result of 0.50 deg/√h and 5.2 deg/h respectively using the same gyroscope working in conventional AM mode.

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Section: The Principle Of Am/fm Signal Readout Of Lfm Modementioning

confidence: 99%

Section: Noise Analysis Of Am Signal Processing Channel Of Lfm Modementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Noise analysis and modeling for a digital control architecture for Lissajous frequency-modulated MEMS gyroscope with amplitude-modulated readout

Wang

Zheng

Shen

et al. 2023

J. Micromech. Microeng.

View full text Add to dashboard Cite

show abstract

“…It is dependent on the stabilization of the frequency difference and amplitude, which varies with the input angular rate [ 24 ]. On the one hand, although utilizing electrostatic force for frequency difference control has been investigated, this necessitates an additional electrostatic voltage to the driving electrode, resulting in increased power consumption [ 25 ]. On the other hand, AGC-less control methods and control methods with separate differential and integral operations can suppress fluctuations in amplitude [ 26 , 27 ].…”

Section: Introductionmentioning

confidence: 99%

Interactive Errors Analysis and Scale Factor Nonlinearity Reduction Methods for Lissajous Frequency Modulated MEMS Gyroscope

Li,

Wang,

Yan

et al. 2023

Sensors

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Although the Lissajous frequency modulated (LFM) mode can improve the long-term and temperature stability of the scale factor (SF) for mode mismatch MEMS gyroscopes, its SF nonlinearity poses a significant limitation for full-scale accuracy maintenance. This paper examines the interaction effects among stiffness coupling, system phase delay, readout demodulation phase shift, and velocity amplitude mismatch within the control process. Based on the completion of frequency difference control and demodulation phase matching, we clarify that the remaining stiffness coupling and residual system phase error are the primary factors influencing SF nonlinearity. Furthermore, SF nonlinearity is reduced through error compensation. On one hand, this paper suppresses stiffness coupling through the observation of the instantaneous frequency difference and the application of the quadrature voltage. On the other hand, system phase error is compensated by observing the amplitude control force and tuning the reference in the Phase-Locked Loops (PLLs). Subsequent simulations of these methods demonstrated a remarkable 97% reduction in SF nonlinearity within the measurement range of ±500°/s. In addition, an observed rule dictates that maintaining a sufficiently large frequency split effectively constrains the SF nonlinearity.

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The rotation sensing based on the Sagnac effect in silicon-integrated optical gyroscope with noise considerations

Mohammadi,

Seifouri,

Olyaee

2024

Opt Quant Electron

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Angle Random Walk Minimization for Frequency Modulated Gyroscopes

Cited by 7 publications

References 8 publications

Noise analysis and modeling for a digital control architecture for Lissajous frequency-modulated MEMS gyroscope with amplitude-modulated readout

Noise analysis and modeling for a digital control architecture for Lissajous frequency-modulated MEMS gyroscope with amplitude-modulated readout

Interactive Errors Analysis and Scale Factor Nonlinearity Reduction Methods for Lissajous Frequency Modulated MEMS Gyroscope

The rotation sensing based on the Sagnac effect in silicon-integrated optical gyroscope with noise considerations

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