Publication detail

Fast Automatic Tuning of a Synthetic Inductor for Automotive Transformer-less Ultrasonic Sensor in Park Assist Systems

LEDVINA, J. HORSKÝ, P. VYKYDAL, L.

Original Title

Fast Automatic Tuning of a Synthetic Inductor for Automotive Transformer-less Ultrasonic Sensor in Park Assist Systems

Type

journal article in Web of Science

Language

English

Original Abstract

This work presents a novel shunt tuning method suitable for transformer-less ultrasonic sensors in park assist systems. The method enables tuning of an inductive part of LR shunt, which is used for a transducer damping. The method relies on knowledge of a transducer own serial resonance frequency and measurement of a parallel resonance frequency, which corresponds to the transducer parasitic capacity and shunt inductance. From the ratio of these two resonance frequencies the method predicts how the inductance must be tuned to achieve optimal damping performance. To enable measurement of the parallel resonance frequency inductance scaling by a factor of four is employed. The scaled inductance shifts the parallel resonance frequency away from the serial resonance frequency and thus distinguishes them. The presented work is supported by practical experiments using a fabricated test chip with a tunable synthetic inductor that confirms its performance and shows improvements compared to previous solutions without adaptive tuning mechanisms.

Keywords

Acoustic sensors; Adaptive algorithms; Sonar navigation; Tuned circuits; Ultrasonic transducers

Authors

LEDVINA, J.; HORSKÝ, P.; VYKYDAL, L.

Released

31. 7. 2019

ISBN

1530-437X

Periodical

IEEE SENSORS JOURNAL

Year of study

19

Number

22

State

United States of America

Pages from

10568

Pages to

10573

Pages count

6

URL

https://ieeexplore.ieee.org/document/8782544

BibTex

@article{BUT158177,
  author="Jan {Ledvina} and Pavel {Horský} and Lukáš {Vykydal}",
  title="Fast Automatic Tuning of a Synthetic Inductor for Automotive Transformer-less Ultrasonic Sensor in Park Assist Systems",
  journal="IEEE SENSORS JOURNAL",
  year="2019",
  volume="19",
  number="22",
  pages="10568--10573",
  doi="10.1109/JSEN.2019.2932300",
  issn="1530-437X",
  url="https://ieeexplore.ieee.org/document/8782544"
}