The University of Southampton
University of Southampton Institutional Repository

Dynamic frequency compensation for transducers

Dynamic frequency compensation for transducers
Dynamic frequency compensation for transducers

In recent years, scientists have made considerable efforts to develop varieties of sensors to meet new demands in performance, size and cost. However, there are always trade-offs between performance and cost. Load sensing is a particular example. One of the factors which contribute to the relative high cost of load cells is the cost of manufacturing and trimming of the billet to reduce the sensor defects. A new generation of sensors, smart sensors, have been developed to compensate the imperfections of transducers. This is performed by incorporating in the transducer a microprocessor and its interface circuitry. This can considerably improve the accuracy and reduce the cost of transducers. In this smart sensor technology, innovation of software for performing the function of transducer compensation is essential. One of the hardest tasks is dynamic frequency compensation. In the work reported here, an optimisation technique is used for the transducer system identification. A major problem is that the load can be a significant part of the inertial parameters of the system. An adaptive filter is developed which compensates for the frequency response for any load in real-time. Tests on a thick-film tri-beam load cell and a precision 1010 load cell have been performed to verify that the problem of the frequency response has been virtually eliminated.

University of Southampton
Shi, Wen Juan
Shi, Wen Juan

Shi, Wen Juan (1992) Dynamic frequency compensation for transducers. University of Southampton, Doctoral Thesis.

Record type: Thesis (Doctoral)

Abstract

In recent years, scientists have made considerable efforts to develop varieties of sensors to meet new demands in performance, size and cost. However, there are always trade-offs between performance and cost. Load sensing is a particular example. One of the factors which contribute to the relative high cost of load cells is the cost of manufacturing and trimming of the billet to reduce the sensor defects. A new generation of sensors, smart sensors, have been developed to compensate the imperfections of transducers. This is performed by incorporating in the transducer a microprocessor and its interface circuitry. This can considerably improve the accuracy and reduce the cost of transducers. In this smart sensor technology, innovation of software for performing the function of transducer compensation is essential. One of the hardest tasks is dynamic frequency compensation. In the work reported here, an optimisation technique is used for the transducer system identification. A major problem is that the load can be a significant part of the inertial parameters of the system. An adaptive filter is developed which compensates for the frequency response for any load in real-time. Tests on a thick-film tri-beam load cell and a precision 1010 load cell have been performed to verify that the problem of the frequency response has been virtually eliminated.

This record has no associated files available for download.

More information

Published date: 1992

Identifiers

Local EPrints ID: 461644
URI: http://eprints.soton.ac.uk/id/eprint/461644
PURE UUID: fb64d338-e1e5-463f-8e7f-7f89cc4a7c0b

Catalogue record

Date deposited: 04 Jul 2022 18:51
Last modified: 04 Jul 2022 18:51

Export record

Contributors

Author: Wen Juan Shi

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×