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Network dynamic field calibration for micro inertial measurement unit

机译:微型惯性测量单元的网络动态现场校准

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摘要

Calibration accuracy of micro inertial measurement unit (MIMU) will affect the navigation accuracy of micro strap-down inertial navigation system. Generally, when the application environment changes (i.e. environment temperature and humidity), the specific force and angular rate output by MIMU will be changed, which were influenced by the zero bias of accelerometers, the zero drift of gyroscopes and so on. Thus, it is necessary to carry out the field calibration for MIMU. Aiming at the application of multi MIMUs, the network dynamic field calibration method is proposed in this paper. According to the navigation attitude and velocity error models, the estimating model is established. Then, the observability for the parameters in the estimating model is analyzed. By fusing the output information of MIMUs and GPS, vehicle experiments are carried out with the designed maneuvers in order to estimate the parameters. The experiment result illustrated that the proposed network dynamic filed calibration can efficiently realize the calibration for the parameters in the model of several MIMUs simultaneously.
机译:微型惯性测量单元(MIMU)的校准精度将影响微带上下惯性导航系统的导航精度。通常,当应用环境改变(即环境温度和湿度)时,MIMU输出的特定力和角速率将被改变,这是由加速度计的零偏压,陀螺仪的零漂移等的影响。因此,有必要对MIMU进行现场校准。旨在应用多种MIMU,本文提出了网络动态场校准方法。根据导航姿态和速度误差模型,建立了估计模型。然后,分析了估计模型中参数的可观察性。通过融合MIMU和GPS的输出信息,使用设计的演习进行车辆实验,以估计参数。实验结果表明,所提出的网络动态归档校准可以有效地实现同时校准几种模型的参数。

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