Title
Design of a fast, high-resolution sensor evaluation platform applied to a capacitive position sensor for a micromirror
Abstract
We present the design and implementation of an adaptable FPGA-based sensor evaluation platform. This platform is developed for benchmarking of an inkjet-printed capacitive position sensor for a resonant micromirror system as part of a smart packaging solution. In the target system, very high required resolutions of resolutions of res <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">pos</sub> <; 50 nm 50 nm together with a wide measurement range of r <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</sub> = 1000 pm at an offset of d <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> = 1000 pm motivate the development of such a platform. Still, it is fully adaptable to other sensing principles (e.g. inductive). The suggested platform provides for high sampling rates (up to ≈ 10 ns) and enables generation of trigger signals, i.e. the mirror control signal, without time lag (as could result from high order filters). The online configurable FPGA block structure in combination with host software blocks enables flexible and individual design. The sensor read-out circuitry is designed as carrier frequency system. Such a carrier frequency system enables flexible choices of bandwidth and measurement signal frequency. It thus allows for separation in frequency from coupling parasitics, i.e. other frequencies present in the device under test (e.g. actuation frequency in case of the micromirror system).
Year
DOI
Venue
2017
10.1109/I2MTC.2017.7969660
2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
Keywords
Field
DocType
Sensor Evaluation,FPGA,Carrier frequency system,Low noise amplifier,Noise analysis
Device under test,Field-programmable gate array,Electronic engineering,Capacitive sensing,Software,Bandwidth (signal processing),Parasitic extraction,Position sensor,Mathematics,Offset (computer science)
Conference
ISBN
Citations 
PageRank 
978-1-5090-3597-7
1
0.47
References 
Authors
1
3
Name
Order
Citations
PageRank
Lisa-Marie Faller1134.94
Juliana Padilha Leitzke240.95
Hubert Zangl35821.63