Title :
Rotor design for capacitive sensors
Author :
Zangl, Hubert ; Bretterklieber, Thomas
Author_Institution :
Graz Univ. of Technol., Austria
Abstract :
The shape of the rotor is an important accuracy issue of capacitive sensors for measurement of angular and linear position. Depending on the evaluation algorithm, two different shapes are commonly used; these rotors produce trapezoid or sinusoidal capacitance patterns. However, capacitance patterns which allow the construction of more accurate and more robust estimators of the desired parameter can be used. In general, position estimation is a nonlinear process, therefore the most accurate estimator is computationally expensive. In this paper an approach for robust optimal design of sensors with suboptimal estimators is presented. The optimal design is obtained by a tight coupling of statistical and field numerical methods taking into account uncertainties arising from inaccuracies of the topology, electronic component tolerances and measurement noise. It is shown that all these factors have substantial impact on the optimal shape of the rotor.
Keywords :
angular measurement; capacitive sensors; electron device testing; network topology; noise; numerical analysis; optimisation; parameter estimation; position measurement; statistical analysis; angular position measurement; capacitive sensors; electronic component tolerances; evaluation algorithm; field numerical methods; linear position measurement; measurement accuracy; measurement noise; nonlinear process; optimal rotor shape; position estimation; robust optimal design; robust parameter estimators; rotor design; sinusoidal capacitance patterns; statistical methods; suboptimal estimators; topology; trapezoid capacitance patterns; Capacitive sensors; Dielectric measurements; Electrical capacitance tomography; Noise robustness; Optical transmitters; Parameter estimation; Pollution measurement; Position measurement; Shape measurement; State estimation;
Conference_Titel :
Sensors, 2004. Proceedings of IEEE
Print_ISBN :
0-7803-8692-2
DOI :
10.1109/ICSENS.2004.1426215