Transducers ’01 Eurosensors XV pp 76-79 | Cite as
Position Sensing System Using Integrated Magnetic Sensors and Neural Networks
Conference paper
Summary
In this paper, we present miniaturized position sensing system using the magnetic field as an intermediate. The system is composed of a source coil, monolithically integrated magnetic sensors, and signal processing unit. The magnetic flux density is suddenly decreases as the distance increases and the relationship between the magnetic field and position is nonlinear. These require a magnetic sensor with high dynamic range and a nonlinear calculation for position determination. We resolved these problems by designing highly-functional integrated-magnetic-sensor and by using neural network.
Keywords
integrated sensor magnetic field sensor logarithmic compression circuit Multi-chip servicePreview
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References
- [1]Trade name “3 SPACE” McDonnel-Douglas: U. S. Patent 3 868 565.Google Scholar
- [2]M. Baba et. al., “A Study of a Three-Dimensional Position Sensing System based on an Analogue Neural Network with Three Inputs,” Tech. Dig. of the 14th Sensor Sym., pp 289–292, 1996.Google Scholar
- [3]K. Maenaka et. al., “Simple Integrated Magnetic Sensors from the Multi-Chip Service”, Tech. Dig. of the 16th Sensor Sym., pp 227–230, 1998.Google Scholar
- [4]S. Sugiyama, “Scope for Micromachining Multi-project Chip Service in Japan,” Tech. Dig. of the 14th Sensor Sym., pp 15–18, 1996.Google Scholar
Copyright information
© Springer-Verlag Berlin Heidelberg 2001