Precise speed and angle measurements of rotating shafts are very
important in automotive engineering applications. Due to their high
degree of robustness and low production costs, magnetic field
sensors are the preferred types of sensors for such applications.
The main disadvantage of using the magnetic technique is its
limited angle accuracy, which is caused by a systematic error of
the sensing arrangement. High integration densities of new
semiconductor technologies allow the integration of complex digital
signal processing onto a small silicon area. Due to new
technologies, high processing power is also available on the small
chip area of integrated sensors. This thesis presents a solution
for increasing the angle accuracy of a magnetic sensing arrangement
by using the processing power available on today's integrated
sensors. A digital filter with adaptive and predictive algorithms
estimates and compensates for systematic errors by using a
simplified physical model of the arrangement. The physical
parameter values of the arrangement are known after adaption is
completed. With the proposed filter structure the accuracy of the
sensing arrangement can be defined by chip design.
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