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Developed One Step Procedure of Calibration for MEMS IMU with Vehicle Applications

机译:开发了适用于车辆应用的MEMS IMU的一步校准程序

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摘要

The Inertial Measuring Unit (IMU) has been used in many applications in our life. However, the accuracy of IMU limited where they can be used. The Micro Electro Mechanical Systems (MEMS) IMU is low cost but also low accuracy. The common ways to improve the accuracy of IMU are calibration and Allan Variance. The calibration can determine the systematic errors like bias, scale factor and non-orthogonality from accelerometers and gyros. The Allan variance can analyze the random errors include Angle Random walk (ARW), Velocity Random walk (VRW) and so on. The results of Allan variance can determine the parameters of those random errors with Power Spectral Density (PSD). There are only few researches about calibration and error analysis in Taiwan. The Taiwanese civil users have no ability to test and correct the IMU used in Mobile Mapping System (MMS) and other applications when some problems happened. The MEMS IMU we used didn't do any error compensations and usually used in smartphone. The purpose is to develop one step calibration scheme and also the analysis of Allan variance for MEMS IMU. The field tests are used to verify the performance of IMU after calibration.
机译:惯性测量单元(IMU)已在我们的生活中用于许多应用中。但是,IMU的准确性限制了它们的使用位置。微机电系统(MEMS)IMU成本低但准确性也低。提高IMU精度的常见方法是校准和Allan Variance。校准可以从加速度计和陀螺仪确定系统误差,例如偏差,比例因子和非正交性。艾伦方差可以分析随机误差,包括角度随机游走(ARW),速度随机游走(VRW)等。艾伦方差的结果可以确定那些具有功率谱密度(PSD)的随机误差的参数。在台湾,关于校准和误差分析的研究很少。发生某些问题时,台湾民用用户无法测试和更正用于移动制图系统(MMS)和其他应用程序的IMU。我们使用的MEMS IMU没有进行任何误差补偿,通常用于智能手机。目的是开发一种一步校准方案,并分析MEMS IMU的Allan方差。现场测试用于在校准后验证IMU的性能。

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