Spinning frequency estimation algorithm of MEMS gyro’s output signal based on FFT coefficient
To obtain accurate demodulation of the spinning frequency of MEMS carrier-driven gyro output signal, a frequency estimation algorithm combining the real and imaginary parts on the basis of fast Fourier transformation (FFT) coefficient was proposed. Both signal simulation and real-time test were perf...
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| Published in | Microsystem technologies : sensors, actuators, systems integration Vol. 24; no. 4; pp. 1789 - 1793 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
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Berlin/Heidelberg
Springer Berlin Heidelberg
01.04.2018
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| Online Access | Get full text |
| ISSN | 0946-7076 1432-1858 |
| DOI | 10.1007/s00542-017-3537-z |
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| Abstract | To obtain accurate demodulation of the spinning frequency of MEMS carrier-driven gyro output signal, a frequency estimation algorithm combining the real and imaginary parts on the basis of fast Fourier transformation (FFT) coefficient was proposed. Both signal simulation and real-time test were performed to verify the advantages of FFT coefficient frequency estimation algorithm. In the signal simulation, CCS software was used in the demodulation and error analysis of the spinning frequency of gyro signal simulated by signal generator. Results showed that the maximum relative error of spectrum detection algorithm is 2.53%, and the maximum relative error of FFT frequency estimation algorithm is 0.1%. In the real-time test, demodulation and error analysis of the spinning frequency of gyro signal were conducted under real-time test through three-axis precise turntable. The maximum relative error of spectrum detection algorithm is 2.33%, and the maximum relative error of FFT frequency estimation algorithm is 0.1%. Experimental results indicated that, compared with spectrum detection algorithm, FFT frequency estimation algorithm exhibits higher demodulation precision, reduced maximum relative error by 2.23–2.43%, and is convenient for hardware implementation. |
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| AbstractList | To obtain accurate demodulation of the spinning frequency of MEMS carrier-driven gyro output signal, a frequency estimation algorithm combining the real and imaginary parts on the basis of fast Fourier transformation (FFT) coefficient was proposed. Both signal simulation and real-time test were performed to verify the advantages of FFT coefficient frequency estimation algorithm. In the signal simulation, CCS software was used in the demodulation and error analysis of the spinning frequency of gyro signal simulated by signal generator. Results showed that the maximum relative error of spectrum detection algorithm is 2.53%, and the maximum relative error of FFT frequency estimation algorithm is 0.1%. In the real-time test, demodulation and error analysis of the spinning frequency of gyro signal were conducted under real-time test through three-axis precise turntable. The maximum relative error of spectrum detection algorithm is 2.33%, and the maximum relative error of FFT frequency estimation algorithm is 0.1%. Experimental results indicated that, compared with spectrum detection algorithm, FFT frequency estimation algorithm exhibits higher demodulation precision, reduced maximum relative error by 2.23–2.43%, and is convenient for hardware implementation. |
| Author | Liu, Yuan-an Zhang, Wei Zhang, Zeng-ping Wang, Ling |
| Author_xml | – sequence: 1 givenname: Ling orcidid: 0000-0003-4454-8185 surname: Wang fullname: Wang, Ling email: wling@bupt.edu.cn organization: Beijing University of Posts and Telecommunications, Research Center of Sensor Technology, Beijing Information Science and Technology University – sequence: 2 givenname: Wei surname: Zhang fullname: Zhang, Wei organization: Research Center of Sensor Technology, Beijing Information Science and Technology University – sequence: 3 givenname: Zeng-ping surname: Zhang fullname: Zhang, Zeng-ping organization: Inner Mongolia University of Finance and Economics – sequence: 4 givenname: Yuan-an surname: Liu fullname: Liu, Yuan-an organization: Beijing University of Posts and Telecommunications |
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| References_xml | – reference: ZhangFXWangHWZhangWMaoXZhangNDesign and performance test of a silicon micromachined gyro driving by rotating carrierJ Electron Compon Mater200625122026 – reference: Wang L, Zhang FX (2010) Analyses on output signal of MEMS gyroscope applied to low speed rotating carrier. In: IEEE international conference on information and…, pp 960–964 – reference: WangLZhangFXSongXHChenXFCaiXQZhangYYShiXCPosture demodulation study on carriers measured by a novel MEMS gyroscopeAdv Mater Res2013718–720989993 – reference: ZhangZPZhangFXZhangWMeasurement of phase difference for micro-machined gyros driven by rotating aircraftJ Sens2013138110511106810.3390/s130811051 – reference: LiuXRenYChuCFangWAccurate frequency estimation based on three-parameter sine-fitting with three FFT samplesJ Metrol Meas Syst2015223403416 – reference: WangWLvXSunFDesign of a novel MEMS gyroscope arrayJ Sens20131321651166310.3390/s130201651 – reference: Reza GhodssiPLMEMS materials and processes handbook2011New YorkSpringer1067107610.1007/978-0-387-47318-5 – reference: ZhangFXZhangWInfluence of the rotator’s spinning instability on the stability of Si micro-machined gyroscopeJ Chin Inert Technol2007155585588 – reference: LangWSilicon microstructuring technologyMater Sci Eng R Rep19961715510.1016/0927-796X(96)00190-8 – reference: Wang L, Zhang F. X (2010) A novel silicon micromechanical gyroscope can be used in non-rotating or rotating flight carriers. In: Proceedings of 2010 international symposium on inertial technology and navigation. Nan Jing, China, pp 215–225 – reference: Konovalv SF, Kuleshov AV, Podtchezertsev VP, Mayorov DV (2003) Vibrating angular rate sensor. In: Integrated navigation systems proceedings of 10th international conference. 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| Title | Spinning frequency estimation algorithm of MEMS gyro’s output signal based on FFT coefficient |
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