Abstract
In the present work, we consider calibrating MEMS accelerometers for the purpose of determining orientation in space. We propose a new objective function whose minimization gives an estimate of the calibration coefficients. The latter takes into account the specifics of measuring toolface and inclination in seek of better accuracy, when the device is used for this purpose. To the best of our knowledge, such an objective function has not been mentioned in the literature. The calibration algorithm is described in detail because, even though, some of the steps are standard from the point of view of a numerical analyst, this could be helpful for an engineer or an applied scientist, looking to make a concrete implementation for applied purposes. On the basis of numerical experiments with sensor data, we compare the accuracy of the proposed algorithm with a classical method. We show that the proposed one has an advantage when sensors are to be used for orientation purposes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Let us remark that when using formula (1) in computer arithmetic, it is wise to substitute the condition for the first case on the right-hand side with \(atan2(a_y,a_x)\ge -\varepsilon \) for some \(\varepsilon > 0\) in order to avoid large errors for near-zero angles.
References
Aggarwal, P., Syed, Z., Niu, X., El-Sheimy, N.: Thermal Calibration of Low Cost MEMS Sensors for Integrated Positioning. The Institute of Navigation National Technical Meeting, Navigation Systems, p. 2224 (2007)
Aggarwal, P., Syed, Z., Niu, X., El-Sheimy, N.: A standard testing and calibration procedure for low cost MEMS inertial sensors and units. J. Navig. 61, 323–336 (2008)
Aydemir, G.A., Saranli, A.: Characterization and calibration of MEMS inertial sensors for state and parameter estimation applications. Measurement 45, 12101225 (2012)
Björck, Å.: Numerical Methods for Least Squares Problems. SIAM (1996)
Forsberg, T., Grip, N., Sabourova, N.: Non-iterative calibration for accelerometers with three non-orthogonal axes and cross-axis interference. Research Report No. 8, Department of Engineering Sciences and Mathematics, Division of Mathematics, Lulea University of Technology (2012)
Georgieva, I., Hofreither, C., Ilieva, T., Ivanov, T., Nakov, S.: Laboratory calibration of a MEMS accelerometer sensor. ESGI’95 Problems and Final Reports, pp. 61–86 (2013)
Hou, H.: Modeling Inertial Sensors Errors using Allan Variance. Library and Archives Canada (2005)
Illfelder, H., Hamlin, K., McElhinney, G.: A gravity-based measurement-while-drilling technique determines borehole azimuth from toolface and inclination measurements. In ADDE 2005 National Technical Conference and Exhibition, Houston, Texas (2005)
Kang, J., Wang, B., Hu, Z., Wang, R., Liu, T.: Study of drill measuring system based on MEMS accelerative and magnetoresistive sensor. In: The Ninth International Conference on Electronic Measurement and Instruments (ICEMI2009)
Luczak, S., Oleksiuk, W., Bodnicki, M.: Sensing tilt with MEMS accelerometers. IEEE Sens. J. 6, 1669–1675 (2006)
Strang, G.: Introduction to Linear Algebra, 3rd edn. Wellesley-Cambridge Press, Wellesley (2003)
Acknowledgements
The work of the authors has been partially supported by the Sofia University “St. Kl. Ohridski” under contract No. 80.10-11/2017.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendix
Appendix
Here, we shall give formulas for computing the Jacobian matrix, associated with the linearization of the minimization problem (6).
We have
Let us define for \(i=\overline{1,n}\) and \(j=\overline{1,12}\)
Let us denote for further use:
After straightforward (but rather lengthy) computations that we omit due to lack of space, one can obtain:
Further, if
holds true, we have:
Otherwise, if condition (14) is not fulfilled, then:
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Ivanov, T.B., Lyutskanova-Zhekova, G.S. (2019). Initial Calibration of MEMS Accelerometers, Used for Measuring Inclination and Toolface. In: Georgiev, K., Todorov, M., Georgiev, I. (eds) Advanced Computing in Industrial Mathematics. BGSIAM 2017. Studies in Computational Intelligence, vol 793. Springer, Cham. https://doi.org/10.1007/978-3-319-97277-0_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-97277-0_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-97276-3
Online ISBN: 978-3-319-97277-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)