NDLI: Fast and precise solving of non-linear optimisation problem for field calibration of triaxial accelerometer

Content Provider	IET Digital Library
Author	Ranjbaran, S. Ebadollahi, S.
Abstract	Unlike laboratory calibration methods, filed calibration methods are not time consuming, costly and do not need laboratory equipment, so they can be used in any environment for calibration of low-cost MEMS accelerometers. The magnitude of gravity vector in static state is used as a reference in the calibration process. Then a cost function is defined which is non-linear and complex. So, in order to simplify this equation, a novel change of variables is proposed which converts this non-linear optimisation problem to a linear least square (LLS) method and a non-linear equation solving. After minimisation of this cost function using LLS method, bias, scale factor and non-orthogonality of the accelerometer are estimated and it is compared with two other field calibration methods. The results of simulations show good performance of proposed method. For online estimation of these coefficients, recursive least squares method is also utilised. Finally, simulations in MATLAB have shown that they converge to the true values.
Starting Page	148
Ending Page	150
Page Count	3
ISSN	00135194
Volume Number	54
e-ISSN	1350911X
Issue Number	Issue 3, Feb (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/54/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2017.2750
Journal	Electronics Letters
Publisher Date	2017-12-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Accelerometer Calibration Cost Function Minimisation Filed Calibration Method Gravity Vector Magnitude Interpolation And Function Approximation Laboratory Calibration Method Least Squares Approximation Linear Least Square Method LLS Method Low-cost MEMS Accelerometer MATLAB Simulation Measurement Standard And Calibration MEMS And NEMS Device Technology Micromechanical And Nanomechanical Device And System Microsensor Microsensors And Nanosensors Minimisation Nonlinear Equation Solving Nonlinear Optimisation Problem Nonlinear Programming Numerical Analysis Numerical Approximation And Analysis Optimisation Technique Recursive Least Square Method Sensing And Detecting Device Triaxial Accelerometer
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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