Refine your search
Collections
Co-Authors
Journals
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Choe, Yu Song
- Method for In-Field User Calibration of MEMS Accelerometer using Hybrid Genetic Algorithm
Abstract Views :24 |
PDF Views:1
Authors
Affiliations
1 Faculty of Mathematics, Kim Il Sung University, Pyongyang, KP
1 Faculty of Mathematics, Kim Il Sung University, Pyongyang, KP
Source
Journal of Physics & Astronomy, Vol 11, No 7 (2023), Pagination: 1-16Abstract
The Inertial Measurement Unit (IMU) using MEMS sensor contains 3-axis accelerometer, 3-axis gyroscope, 3-axis magnetometer, thermometer, etc. in a single microchip, but the installing axes are not ideally perpendicular to each other and calibration is needed. This paper describes the approach to the static calibration of an accelerometer without using any mechanical equipment on the basis of the fact that the norm of MEMS accelerometer outputs measured in the static position is ideally equal to 1. By using genetic algorithm, we verified the initial values of scale factors and zero bias ones. Taking these as the initial values of the Sequence Quadratic Programming (SQP), we found the optimal solution. We proved the effectiveness of the calibration using the measurements of MEMS accelerometer in the static position. The experimental result shows that the static calibration approach using the estimated Hybrid Genetic Algorithm (HGA) is better than the others.Keywords
MEMS accelerometer; Auto-calibration; Genetic algorithm; SQP; BiasFull Text
References
- Šipoš M. Improvement of Inertial Navigation System Accuracy Using Alternative Sensors (Doctoral dissertation, CzechTechnical University). 2015.
- I. Frosio and S. Stuani. Auto-calibration of a MEMS accelerometer, IMTC 2006-Instrumentation and MeasurementTechnology Conference, Italy, 2006:519-23.
- Skog I, Händel P. Calibration of a MEMS inertial measurement unit. InXVII IMEKO world congress 2006:1-6.
- Marinov M, Petrov Z. A static calibration of mems 3-axis accelerometer using a genetic algorithm. Zeszyty Naukowe.Transport/Politechnika Śląska. 2019.
- Xiaoming Z, Guobin C, Jie L, et al. Calibration of triaxial MEMS vector field measurement system. IET Sci. Meas.Technol . 2014;8(6):601-9.
- Fong WT, Ong SK, Nee AY. Methods for in-field user calibration of an inertial measurement unit without externalequipment. Meas. Sci. technol. 2008;19(8):085202.
- Syed ZF, Aggarwal P, Goodall C, et al. A new multi-position calibration method for MEMS inertial navigation systems.Meas. sci. technol. 2007;18(7):1897.
- Won SH, Golnaraghi F. A triaxial accelerometer calibration method using a mathematical model. IEEE trans. instrum.meas. 2009;59(8):2144-53.
- Mayagoitia RE, Nene AV, Veltink PH. Accelerometer and rate gyroscope measurement of kinematics: an inexpensivealternative to optical motion analysis systems. J. biomech. 2002;35(4):537-42.
- Tedaldi D. IMU calibration without mechanical equipment.(Calibrazione di IMU svincolata da apparati meccanici).
- Xu X, Tian X, Zhou L, et al. A decision-tree based multiple-model UKF for attitude estimation using low-cost MEMSMARG sensor arrays. Measurement. 2019;135:355-67.