A Novel Methodology for Stray Field Insensitive xMR Angular Position Sensors

Rohrmann, Kris; Meier, Phil; Sandner, Marvin; Prochaska, Marcus

doi:10.1109/icsens.2018.8589677

Cited by 11 publications

(5 citation statements)

References 6 publications

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“…From this follows established sensing concepts are incapable of recognizing corrupted measurements and could fail to fulfill the specifications stated in [12]. On this account additional information must be introduced either by a known magnetic field [40] and\ or additional sensing elements with a known positional offset.…”

Section: Basic Considerationsmentioning

confidence: 99%

“…Although the concept presented in [40] is able to compensate angular errors for a carefully calibrated system the additional effort is undesired. Especially the auxiliary on-chip coils to generate the known, two-dimensional excitation field brings additional manufacturing effort for the coil systems as well as a higher power demand.…”

Section: Basic Considerationsmentioning

confidence: 99%

“…The results of AMR sensors are compared with the components of the magnetic field as a reference. Normally MR-based angular sensors are unable to quantify this, but with additional on-chip coils the field strength could be calculated from angular measurements [40]. Beside that difference, magnetometers can be used since such sensors directly quantify the field strength.…”

Section: A Input Representationmentioning

confidence: 99%

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Compensation of Measurement Errors for a Magnetoresistive Angular Sensor Array Using Artificial Neuronal Networks

et al. 2020

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Sensing setups based on the magnetic field possess many benefits that make such sensors an important class in many application fields. Especially in industrial or automotive applications, such sensing concepts are very important parts in many essential system components. Magnetic field sensors are typically used to measure angular positions and rotational velocity as well as linear positions. Due to their high robustness and accuracy, MR-based sensors have a dominant role in the angular sensing domain. Nevertheless, novel vehicle concepts such as electrical driven or hybrid cars as well as increasing quality and reliability requirements demand improvements. However, those sensors face challenges due to new technologies, which are accompanied by new regulations. From this follows that manufactures can either adapt existing technologies or develop new sensing concepts. The goal of the following work is the evaluation of the capability of neuronal networks to enhance the measurement results of magnetic field sensors if these are disturbed by magnetic stray fields. Therefore, the system setup and possible error sources are analyzed before different neural networks are designed, tried and tested, whereby special attention is given to the network configuration in order to enable a deployment close to the individual sensors. Finally, the results are verified with an adapted measurement setup.

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Section: Basic Considerationsmentioning

confidence: 99%

Section: Basic Considerationsmentioning

confidence: 99%

Section: A Input Representationmentioning

confidence: 99%

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Compensation of Measurement Errors for a Magnetoresistive Angular Sensor Array Using Artificial Neuronal Networks

et al. 2020

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“…AMR sensors provide high sensitivity and low hysteresis [ 3 ]. However, they are corrupted by magnetic stray fields in a non-linear fashion, greatly complicating the rejection of such disturbances [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Magnetic–Inductive Angular Sensor with 360° Range and Stray-Field Immunity

Brajon¹,

Lugani²,

Close³

2022

Sensors

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Magnetic and inductive sensors are the dominant technologies in angular position sensing for automotive applications. This paper introduces a new angular sensor: a hybrid concept combining the magnetic Hall and inductive principles. A magnetic Hall transducer provides an accurate angle from 0° to 180°, whereas an inductive transducer provides a coarse angle from 0° to 360°. For this novel concept, a hybrid target with a magnetic and inductive signature is also needed. Using the two principles at the same time enables superior performances, in terms of range, compactness and robustness, that are not possible when used separately. We realized and characterized a prototype. The prototype achieves a 360° range, has a high accuracy and is robust against mechanical misalignments, stray fields and stray metals. The measurement results demonstrate that the two sensing principles are completely independent, thereby opening the doors for hybrid optimum magnetic–inductive designs beyond the usual trade-offs (range vs. resolution, size vs. robustness to misalignment).

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“…They work directly in the angle domain, which is an advantage in angle sensing. However, this complicates largely the rejection of stray fields [10]. The stray field rotates in a non-linear way the sensed angle, and this error cannot simply be canceled by differential sensing.…”

Section: Introductionmentioning

confidence: 99%

A Stray-Field-Immune Magnetic Displacement Sensor With 1% Accuracy

Dupré¹,

Bidaux²,

Dubrulle

et al. 2020

IEEE Sensors J.

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We present a new Hall sensor design for the accurate and robust measurement of linear displacement. Implemented in CMOS, the sensor is based on a novel gradient measurement concept combining Hall elements with integrated magnetic concentrators. In typical applications with practical Ferrite magnets, the peak output voltage of the Hall transducers is only around 1.7 mV at the maximum operating temperature of 160℃, and thus requires high-performance low-offset readout electronics. Over its 15-mm linear displacement range, the sensor's total error is 1% including manufacturing tolerances, trimming accuracy, temperature, aging effects, and practical magnet constraints. In addition, the sensor is immune to magnetic stray fields up to 5 mT, complying with the most stringent automotive norm.

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A Novel Methodology for Stray Field Insensitive xMR Angular Position Sensors

Cited by 11 publications

References 6 publications

Compensation of Measurement Errors for a Magnetoresistive Angular Sensor Array Using Artificial Neuronal Networks

Compensation of Measurement Errors for a Magnetoresistive Angular Sensor Array Using Artificial Neuronal Networks

Hybrid Magnetic–Inductive Angular Sensor with 360° Range and Stray-Field Immunity

A Stray-Field-Immune Magnetic Displacement Sensor With 1% Accuracy

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