A Digital Mode-Matching Control System Based on Feedback Calibration for a MEMS Gyroscope

A digital mode-matching control system based on feedback calibration, where two pilot tones are applied to actuate the sense mode by the robust feedback controller, is presented for a MEMS gyroscope in this paper. A dual-mass decoupled MEMS gyroscope with the integrated electrostatic frequency tunin...

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Main Authors: Bo Yang, Lei Wu, Chengfu Lu, Gang Wang
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Journal of Sensors
Online Access:http://dx.doi.org/10.1155/2019/9894367
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spelling doaj-e23b7566fc814290a464ae7eb9a157f12020-11-24T21:26:24ZengHindawi LimitedJournal of Sensors1687-725X1687-72682019-01-01201910.1155/2019/98943679894367A Digital Mode-Matching Control System Based on Feedback Calibration for a MEMS GyroscopeBo Yang0Lei Wu1Chengfu Lu2Gang Wang3School of Instrument Science and Engineering, Southeast University, Nanjing 210096, ChinaSchool of Instrument Science and Engineering, Southeast University, Nanjing 210096, ChinaSchool of Instrument Science and Engineering, Southeast University, Nanjing 210096, ChinaAviation Key Laboratory of Science and Technology on Inertia, FACRI, Xi’an 710065, ChinaA digital mode-matching control system based on feedback calibration, where two pilot tones are applied to actuate the sense mode by the robust feedback controller, is presented for a MEMS gyroscope in this paper. A dual-mass decoupled MEMS gyroscope with the integrated electrostatic frequency tuning mechanisms, the quadrature correction electrode, and the feedback electrode is adopted to implement mode-matching control. Compared with the previous mode-matching method of forward excitation calibration, the proposed mode-matching scheme based on feedback calibration has better adaptability to the variation in the frequency of calibration pilot tones and the quality factor of the sense mode. The influences of calibration pilot tone frequency and the amplitude ratio on tuning performance are studied in theory and simulation. The simulation results demonstrate that the tuning error due to the amplitude asymmetry of the sense mode increases with a frequency split between pilot tones and the drive mode and is significantly reduced by the amplitude correction technology of pilot tones. In addition, the influence of key parameters on the stability of the mode-matching system is deduced by using the average analysis method. The MATLAB simulation of the mode-matching control system illustrates that simulation results have a good consistency with theoretical analysis, which verifies the effectiveness of the closed-loop mode-matching control system. The entire mode-matching control system based on a FPGA device is implemented combined with a closed-loop self-excitation drive, closed-loop force feedback control, and quadrature error correction control. Experimental results demonstrate that the mode-matching prototype has a bias instability of 0.63°/h and ARW of 0.0056°/h1/2. Compared with the mode-mismatched MEMS gyroscope, the performances of bias instability and ARW are improved by 3.81 times and 4.20 times, respectively.http://dx.doi.org/10.1155/2019/9894367
collection DOAJ
language English
format Article
sources DOAJ
author Bo Yang
Lei Wu
Chengfu Lu
Gang Wang
spellingShingle Bo Yang
Lei Wu
Chengfu Lu
Gang Wang
A Digital Mode-Matching Control System Based on Feedback Calibration for a MEMS Gyroscope
Journal of Sensors
author_facet Bo Yang
Lei Wu
Chengfu Lu
Gang Wang
author_sort Bo Yang
title A Digital Mode-Matching Control System Based on Feedback Calibration for a MEMS Gyroscope
title_short A Digital Mode-Matching Control System Based on Feedback Calibration for a MEMS Gyroscope
title_full A Digital Mode-Matching Control System Based on Feedback Calibration for a MEMS Gyroscope
title_fullStr A Digital Mode-Matching Control System Based on Feedback Calibration for a MEMS Gyroscope
title_full_unstemmed A Digital Mode-Matching Control System Based on Feedback Calibration for a MEMS Gyroscope
title_sort digital mode-matching control system based on feedback calibration for a mems gyroscope
publisher Hindawi Limited
series Journal of Sensors
issn 1687-725X
1687-7268
publishDate 2019-01-01
description A digital mode-matching control system based on feedback calibration, where two pilot tones are applied to actuate the sense mode by the robust feedback controller, is presented for a MEMS gyroscope in this paper. A dual-mass decoupled MEMS gyroscope with the integrated electrostatic frequency tuning mechanisms, the quadrature correction electrode, and the feedback electrode is adopted to implement mode-matching control. Compared with the previous mode-matching method of forward excitation calibration, the proposed mode-matching scheme based on feedback calibration has better adaptability to the variation in the frequency of calibration pilot tones and the quality factor of the sense mode. The influences of calibration pilot tone frequency and the amplitude ratio on tuning performance are studied in theory and simulation. The simulation results demonstrate that the tuning error due to the amplitude asymmetry of the sense mode increases with a frequency split between pilot tones and the drive mode and is significantly reduced by the amplitude correction technology of pilot tones. In addition, the influence of key parameters on the stability of the mode-matching system is deduced by using the average analysis method. The MATLAB simulation of the mode-matching control system illustrates that simulation results have a good consistency with theoretical analysis, which verifies the effectiveness of the closed-loop mode-matching control system. The entire mode-matching control system based on a FPGA device is implemented combined with a closed-loop self-excitation drive, closed-loop force feedback control, and quadrature error correction control. Experimental results demonstrate that the mode-matching prototype has a bias instability of 0.63°/h and ARW of 0.0056°/h1/2. Compared with the mode-mismatched MEMS gyroscope, the performances of bias instability and ARW are improved by 3.81 times and 4.20 times, respectively.
url http://dx.doi.org/10.1155/2019/9894367
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