Title :
Physical model of a MEMS accelerometer for low-g motion tracking applications
Author :
Ang, Wei Tech ; Khoo, Si Yi ; Khosla, Pradeep K. ; Riviere, Cameron N.
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fDate :
April 26-May 1, 2004
Abstract :
This paper develops a physical model of a MEMS capacitive accelerometer in order to use the accelerometer effectively in low-g motion tracking applications. The proposed physical model includes common physical parameters used to rate an accelerometer: scale factor, bias, and misalignment. Simple experiments used to reveal the behavior and characteristics of these parameters are described. A phenomenological modeling method is used to establish mathematical representations of these parameters in relation to errors such as nonlinearity, hysteresis, cross-axis effect, and temperature effect, without requiring a complete understanding of the underlying physics. Experimental results are presented, in which the physical model reduces RMSE by 93.1% in comparison with the manufacturer´s recommended method.
Keywords :
acceleration measurement; accelerometers; control nonlinearities; hysteresis; micromechanical devices; motion control; tracking; MEMS capacitive accelerometer; bias; cross axis effect; hysteresis; low-g motion tracking; mathematical representations; microelectromechanical system; misalignment; nonlinearity errors; phenomenological modeling method; physical parameters; scale factor; temperature effect; Accelerometers; Circuits; Costs; Mathematical model; Micromechanical devices; Navigation; Physics; Testing; Tracking; Virtual manufacturing;
Conference_Titel :
Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8232-3
DOI :
10.1109/ROBOT.2004.1308011