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Fast Field Calibration of MIMU Based on the Powell Algorithm

机译:基于Powell算法的MIMU快速现场标定

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摘要

The calibration of micro inertial measurement units is important in ensuring the precision of navigation systems, which are equipped with microelectromechanical system sensors that suffer from various errors. However, traditional calibration methods cannot meet the demand for fast field calibration. This paper presents a fast field calibration method based on the Powell algorithm. As the key points of this calibration, the norm of the accelerometer measurement vector is equal to the gravity magnitude, and the norm of the gyro measurement vector is equal to the rotational velocity inputs. To resolve the error parameters by judging the convergence of the nonlinear equations, the Powell algorithm is applied by establishing a mathematical error model of the novel calibration. All parameters can then be obtained in this manner. A comparison of the proposed method with the traditional calibration method through navigation tests shows the classic performance of the proposed calibration method. The proposed calibration method also saves more time compared with the traditional calibration method.
机译:微型惯性测量单元的校准对于确保导航系统的精度很重要,导航系统配备有受各种误差影响的微机电系统传感器。然而,传统的校准方法无法满足快速现场校准的需求。本文提出一种基于Powell算法的快速现场标定方法。作为此校准的关键点,加速度计测量向量的范数等于重力幅度,而陀螺仪测量向量的范数等于转速输入。为了通过判断非线性方程的收敛性来解决误差参数,通过建立新型标定的数学误差模型来应用鲍威尔算法。这样就可以获取所有参数。通过导航测试将该方法与传统校准方法进行比较,显示了该校准方法的经典性能。与传统的校准方法相比,提出的校准方法还节省了更多时间。

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