Modeling and Design Optimization of Nea...

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.