An Inductive Position Sensor ASIC

Kamenický, Petr; Horsky, Pavel

doi:10.1007/978-1-4020-8263-4_3

Cited by 7 publications

(3 citation statements)

References 1 publication

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“…They are then naturally immune to low-frequency stray fields. Moreover, they are capable of having a very high accuracy [ 11 ]. They are bulkier than their magnetic counterparts due to the size of the coil system, which is typically several tens of millimeters large.…”

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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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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“…This is explained in Chapter 7 of [14] with a thorough comparison of all common magnetic sensor technologies. Apart from permanent magnetic angle sensors also inductive angle sensors are known [15]. They are very accurate and robust against electromagnetic disturbances, and they are well suited for through-shaft arrangements, where the end of a shaft is not available.…”

Section: Introductionmentioning

confidence: 99%

A Statistical Investigation into Assembly Tolerances of Gradient Field Magnetic Angle Sensors with Hall Plates

et al. 2019

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Magnetic field-based sensors are used for reliable applications in automotive and aerospace industry because of their robustness. The electrification of powertrains and propulsion requires gradiometric sensing principles, because they suppress ubiquitous electromagnetic disturbances very efficiently. A prominent solution for the mass market uses a small permanent magnet attached to the end of a rotatable shaft and a small sensor chip with four Hall plates placed on the rotation axis and ahead of the magnet. Small misplacements of chip and magnet lead to errors in the detected angle of the shaft. The lateral position errors and tilts of the magnet and the chip give eight degrees of freedom (DoF). This large number of DoF and the nonlinearity of the system obscure the view on how to optimize such angle sensor systems. Therefore, this work presents a statistical description of angle errors caused by assembly tolerances. Probability distributions of angle errors are given and marked differences to Gaussian distributions are shown. The influence of spacing between sensor and magnet and the dominant influence of the shape of the magnet are clarified. The results obtained by numerical computations are in excellent agreement to recently published analytical theories. This work gives evident conclusions for statistical optimizations of such angle sensor systems.

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“…However, there are usually higher order harmonic signals which lead to a considerable amount of nonlinearity errors [ 10 ]. Inductive angle sensors provide a compact structure and a high degree of insensitivity to production and installation tolerances, but the weak linear relationships between position and output signal (near the zero crossings) often lead to significant nonlinearity errors for calculating the angular displacement [ 11 , 12 ]. In the inductive position sensor field, the nonlinearity error is around one percent [ 7 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Nonlinearity Analysis and Parameters Optimization for an Inductive Angle Sensor

Lin

Yang

et al. 2014

Sensors

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Using the finite element method (FEM) and particle swarm optimization (PSO), a nonlinearity analysis based on parameter optimization is proposed to design an inductive angle sensor. Due to the structure complexity of the sensor, understanding the influences of structure parameters on the nonlinearity errors is a critical step in designing an effective sensor. Key parameters are selected for the design based on the parameters' effects on the nonlinearity errors. The finite element method and particle swarm optimization are combined for the sensor design to get the minimal nonlinearity error. In the simulation, the nonlinearity error of the optimized sensor is 0.053% in the angle range from −60° to 60°. A prototype sensor is manufactured and measured experimentally, and the experimental nonlinearity error is 0.081% in the angle range from −60° to 60°.

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An Inductive Position Sensor ASIC

Cited by 7 publications

References 1 publication

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

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

A Statistical Investigation into Assembly Tolerances of Gradient Field Magnetic Angle Sensors with Hall Plates

Nonlinearity Analysis and Parameters Optimization for an Inductive Angle Sensor

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