C4.2 - Modeling and Design Optimization of Near Field Position Sensors
- Event
- AMA Conferences 2017
2017-05-30 - 2017-06-01
Nürnberg, Germany - Band
- Proceedings Sensor 2017
- Chapter
- C4 - Modeling and Simulation II
- Author(s)
- H. Zangl, L. Faller - Alpen Adria Universität, Klagenfurt (Austria), W. Granig - Infineon Technologies AG, Villach (Austria)
- Pages
- 352 - 355
- DOI
- 10.5162/sensor2017/C4.2
- ISBN
- 978-3-9816876-4-4
- Price
- free
Abstract
A variety of angular position sensors make use of field patterns that are moved or rotated together with an object with respect to a reference. The displacement and/or rotation is then determined using e.g. magnetic field sensors such as Hall sensors or capacitive sensors. These sensors perform a spatial sampling from the field pattern. Based on an appropriate placement of the sensors and a signal processing algorithm, the relative displacement and/or relative rotation should be determined with a low uncertainty. We present an approach for the optimization of the sensor element placement and/or other design parameters based on a meta-model under consideration of correlated uncertainties.