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Fast field calibration of MIMU based on the Powell algorithm.
Lin Ma1, Wanwan Chen2, Bin Li3
1Department of Precision Instrument, Tsinghua University, Beijing 100084, China. malin10@mails.tsinghua.edu.cn.
Sensors (Basel, Switzerland)
|September 2, 2014
Summary
This study introduces a fast field calibration method for micro inertial measurement units (IMUs) using the Powell algorithm. The new method ensures navigation system precision and significantly reduces calibration time compared to traditional approaches.
Area of Science:
- * Engineering
- * Sensor Technology
- * Navigation Systems
Background:
- * Micro inertial measurement units (IMUs) are crucial for navigation system precision.
- * Microelectromechanical system (MEMS) sensors in IMUs are prone to various errors.
- * Traditional calibration methods are too slow for field applications.
Purpose of the Study:
- * To develop a fast field calibration method for micro IMUs.
- * To improve the precision of navigation systems using calibrated IMUs.
- * To address the limitations of traditional calibration techniques.
Main Methods:
- * Application of the Powell algorithm for error parameter resolution.
- * Establishment of a mathematical error model for novel calibration.
- * Utilizing the constancy of accelerometer and gyro measurement vector norms under specific conditions.
Main Results:
- * The Powell algorithm successfully resolves error parameters by judging nonlinear equation convergence.
- * Navigation tests demonstrate the proposed method's effectiveness and performance.
- * The new calibration method significantly reduces calibration time.
Conclusions:
- * The proposed Powell algorithm-based method offers a fast and effective solution for micro IMU calibration.
- * This advancement enhances the precision and efficiency of navigation systems.
- * The method is suitable for rapid field calibration needs.
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