Next Article in Journal
A Dynamic Attitude Measurement System Based on LINS
Next Article in Special Issue
An Improved Method for Dynamic Measurement of Deflections of the Vertical Based on the Maintenance of Attitude Reference
Previous Article in Journal
Modified Anderson-Darling Test-Based Target Detector in Non-Homogenous Environments
Previous Article in Special Issue
Observability Analysis of a MEMS INS/GPS Integration System with Gyroscope G-Sensitivity Errors
Article Menu

Export Article

Open AccessArticle
Sensors 2014, 14(9), 16062-16081;

Fast Field Calibration of MIMU Based on the Powell Algorithm

1,2,* , 1,2,3
Department of Precision Instrument, Tsinghua University, Beijing 100084, China
State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing 100084, China
National Defense Key Laboratory of Underground Damage Technology, North University of China, Taiyuan 030051, China
Author to whom correspondence should be addressed.
Received: 5 June 2014 / Revised: 21 August 2014 / Accepted: 25 August 2014 / Published: 29 August 2014
(This article belongs to the Special Issue Optical Gyroscopes and Navigation Systems)
Full-Text   |   PDF [2579 KB, uploaded 1 September 2014]


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. View Full-Text
Keywords: MIMU; multi-position calibration; compensation; navigation MIMU; multi-position calibration; compensation; navigation
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Ma, L.; Chen, W.; Li, B.; You, Z.; Chen, Z. Fast Field Calibration of MIMU Based on the Powell Algorithm. Sensors 2014, 14, 16062-16081.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top