A temperature-compensated system for magnetic field measurements based on artificial neural networks

Author

Pereira, J. M Dias ; Postolache, Octavian ; Girão, P. M B Silva

Author_Institution

Inst. Politecnico de Setubal, Escola Superior de Tecnologia, Portugal

Volume

47

Issue

2

fYear

1998

fDate

4/1/1998 12:00:00 AM

Firstpage

494

Lastpage

498

Abstract

This paper presents a personal-computer-controlled system, assembled mainly with IEEE 488 general purpose instruments and aimed at the measurement of magnetic field intensity. The main sensor element in the system is a magnetoresistive field sensor which includes four permalloy strips connected in a Wheatstone bridge configuration. The temperature dependence of this sensor can vary almost 25% in the experimental operating temperature range (20°C-100°C). In order to overcome this problem, a two-terminal integrated circuit temperature transducer is connected to the system, and its temperature information is used to correct the temperature drift error of the magnetic sensor. Artificial neural networks are used for data reduction and final results show an improvement in the system´s accuracy from 20% to 2%

Keywords

bridge instruments; computerised instrumentation; error compensation; magnetic field measurement; magnetic sensors; magnetoresistive devices; neural nets; IEEE 488 instrument; Wheatstone bridge; artificial neural network; data reduction; drift error; integrated circuit temperature transducer; magnetic field measurement; magnetoresistive sensor; permalloy strip; personal computer control; temperature compensation; Assembly systems; Bridge circuits; Instruments; Magnetic field measurement; Magnetic sensors; Magnetoresistance; Sensor systems; Strips; Temperature dependence; Temperature sensors;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/19.744197

Filename

744197