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A Digital Calibration Technique of MEMS Gyroscope for Closed-Loop Mode-Matching Control

机译:用于闭环模式匹配控制的MEMS陀螺仪数字校准技术

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摘要

A digital excitation-calibration technique of dual-mass MEMS gyroscope for closed-loop mode-matching control is presented in this paper. The technique, which takes advantage of the symmetrical amplitude response of MEMS gyroscope, exploits a two-side excitation signal to actuate the sense mode to obtain the corresponding DC tuning voltage. The structural characteristics of dual-mass decoupled MEMS gyroscope and the tuning principle of excitation-calibration technique are introduced firstly. Then, the scheme of digital excitation-calibration system for the real-time mode-matching control is presented. Simultaneously, open-loop analysis and closed-loop analysis are deduced, respectively, to analyze the sources of tuning error and system stability. To verify the validity of the scheme and theoretical analysis, the system model was established by SIMULINK. The simulation results are proved to be consistent with the theoretical analysis, verifying the feasibility of the digital excitation-calibration technique. The control algorithms of the system were implemented with a FPGA device. Experimental results demonstrate that digital excitation-calibration technique can realize mode-matching within 1 s. The prototype with real-time mode-matching control has a bias instability of 0.813/h and an ARW (Angular Random Walk) of 0.0117/h. Compared to the mode-mismatching condition, the bias instability and ARW are improved by 3.25 and 4.49 times respectively.
机译:本文提出了一种用于闭环模式匹配控制的双质量MEMS陀螺仪的数字激励校准技术。该技术利用MEMS陀螺仪的对称幅度响应,利用两侧激励信号来驱动感测模式以获得相应的DC调谐电压。首先介绍了双质量解耦MEMS陀螺仪的结构特点和激励校准技术的调谐原理。然后,提出了一种用于实时模式匹配控制的数字励磁校准系统方案。同时,推导了开环分析和闭环分析,以分析调谐误差和系统稳定性的来源。为了验证该方案的有效性和理论分析,通过SIMULINK建立了系统模型。仿真结果与理论分析相吻合,验证了数字激励校准技术的可行性。该系统的控制算法是通过FPGA器件实现的。实验结果表明,数字激励校准技术可以在1 s内实现模式匹配。具有实时模式匹配控制的原型的偏差不稳定性为0.813 / h和ARW(角度随机游走)为0.0117 / <数学xmlns:mml =“ http://www.w3.org/1998/Math/MathML” id =“ mm3”溢出=“ scroll”> h 。与模式不匹配条件相比,偏置不稳定性和ARW分别提高了3.25和4.49倍。

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