Time- and Computation-Efficient Calibration of MEMS 3D Accelerometers and Gyroscopes
We propose calibration methods for microelectromechanical system (MEMS) 3D accelerometers and gyroscopes that are efficient in terms of time and computational complexity. The calibration process for both sensors is simple, does not require additional expensive equipment, and can be performed in the...
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doaj-8bb72e7002e949009369933e340a0af22020-11-24T22:17:23ZengMDPI AGSensors1424-82202014-08-01148148851491510.3390/s140814885s140814885Time- and Computation-Efficient Calibration of MEMS 3D Accelerometers and GyroscopesSara Stančin0Sašo Tomažič1Faculty of Electrical Engineering, University of Ljubljana, Ljubljana 1000, SloveniaFaculty of Electrical Engineering, University of Ljubljana, Ljubljana 1000, SloveniaWe propose calibration methods for microelectromechanical system (MEMS) 3D accelerometers and gyroscopes that are efficient in terms of time and computational complexity. The calibration process for both sensors is simple, does not require additional expensive equipment, and can be performed in the field before or between motion measurements. The methods rely on a small number of defined calibration measurements that are used to obtain the values of 12 calibration parameters. This process enables the static compensation of sensor inaccuracies. The values detected by the 3D sensor are interpreted using a generalized 3D sensor model. The model assumes that the values detected by the sensor are equal to the projections of the measured value on the sensor sensitivity axes. Although this finding is trivial for 3D accelerometers, its validity for 3D gyroscopes is not immediately apparent; thus, this paper elaborates on this latter topic. For an example sensor device, calibration parameters were established using calibration measurements of approximately 1.5 min in duration for the 3D accelerometer and 2.5 min in duration for the 3D gyroscope. Correction of each detected 3D value using the established calibration parameters in further measurements requires only nine addition and nine multiplication operations.http://www.mdpi.com/1424-8220/14/8/14885MEMS sensorsaccelerometergyroscopesensor calibrationgeneral 3D sensor modelSimultaneous Orthogonal Rotation Angle (SORA) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sara Stančin Sašo Tomažič |
spellingShingle |
Sara Stančin Sašo Tomažič Time- and Computation-Efficient Calibration of MEMS 3D Accelerometers and Gyroscopes Sensors MEMS sensors accelerometer gyroscope sensor calibration general 3D sensor model Simultaneous Orthogonal Rotation Angle (SORA) |
author_facet |
Sara Stančin Sašo Tomažič |
author_sort |
Sara Stančin |
title |
Time- and Computation-Efficient Calibration of MEMS 3D Accelerometers and Gyroscopes |
title_short |
Time- and Computation-Efficient Calibration of MEMS 3D Accelerometers and Gyroscopes |
title_full |
Time- and Computation-Efficient Calibration of MEMS 3D Accelerometers and Gyroscopes |
title_fullStr |
Time- and Computation-Efficient Calibration of MEMS 3D Accelerometers and Gyroscopes |
title_full_unstemmed |
Time- and Computation-Efficient Calibration of MEMS 3D Accelerometers and Gyroscopes |
title_sort |
time- and computation-efficient calibration of mems 3d accelerometers and gyroscopes |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2014-08-01 |
description |
We propose calibration methods for microelectromechanical system (MEMS) 3D accelerometers and gyroscopes that are efficient in terms of time and computational complexity. The calibration process for both sensors is simple, does not require additional expensive equipment, and can be performed in the field before or between motion measurements. The methods rely on a small number of defined calibration measurements that are used to obtain the values of 12 calibration parameters. This process enables the static compensation of sensor inaccuracies. The values detected by the 3D sensor are interpreted using a generalized 3D sensor model. The model assumes that the values detected by the sensor are equal to the projections of the measured value on the sensor sensitivity axes. Although this finding is trivial for 3D accelerometers, its validity for 3D gyroscopes is not immediately apparent; thus, this paper elaborates on this latter topic. For an example sensor device, calibration parameters were established using calibration measurements of approximately 1.5 min in duration for the 3D accelerometer and 2.5 min in duration for the 3D gyroscope. Correction of each detected 3D value using the established calibration parameters in further measurements requires only nine addition and nine multiplication operations. |
topic |
MEMS sensors accelerometer gyroscope sensor calibration general 3D sensor model Simultaneous Orthogonal Rotation Angle (SORA) |
url |
http://www.mdpi.com/1424-8220/14/8/14885 |
work_keys_str_mv |
AT sarastancin timeandcomputationefficientcalibrationofmems3daccelerometersandgyroscopes AT sasotomazic timeandcomputationefficientcalibrationofmems3daccelerometersandgyroscopes |
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